Introduction
Welcome to Amberscript's Transcription API!
The API_KEY
can be generated on the Account Page.
Please contact us if you need to update your balance for processing manual jobs.
When you upload a file, our transcribers or automatic speech recognition engines will get to work and create a transcript or subtitles.
- Automatic transcripts and subtitles are usually ready within an hour, manually perfected ones take more time, dependent on the delivery time chosen.
- Indicate jobType
direct
for automatic and jobTypeperfect
for manual jobs - You can check the status of a job using the status endpoint.
- When the status is
DONE
, a job is finished, and you can download the file using our export endpoints.
Authentication
Language Codes
Language | Code |
---|---|
Automatic selection | auto |
Afrikaans | af-za |
Albanian | sq-al |
Amharic | am-et |
Arabic | ar |
Armenian | hy-am |
Azerbaijani | az-az |
Bahasa (Indonesia) | id-id |
Bashkir | ba |
Basque | eu-es |
Bengali (Bangladesh) | bn-bd |
Bengali (India) | bn-in |
Bosnian | bs-ba |
Bulgarian | bg |
Burmese | my-mm |
Cantonese | yue |
Catalan | ca |
Chinese (Mandarin) | cmn |
Croatian | hr |
Czech | cs |
Danish | da |
Dutch | nl |
English (Australia) | en-au |
English (United Kingdom) | en-uk |
English (United States) | en-us |
English (all accents) | en |
Esperanto | eo |
Estonian | et-ee |
Farsi (Iran) | fa-ir |
Filipino | fil-ph |
Finnish | fi |
Flemish | nl-be |
French (Canada) | fr-ca |
French | fr |
Galician | gl-es |
Georgian | ka-ge |
German (Austria) | de-at |
German (Germany) | de-ot |
German (Switzerland) | de-ch |
German (Swiss Mundart) | de-gsw |
German (all accents) | de |
Greek | el |
Gujarati | gu-in |
Hebrew | iw-il |
Hindi | hi |
Hungarian | hu |
Icelandic | is-is |
Italian | it |
Japanese | ja |
Javanese | jv-id |
Kannada | kn-in |
Khmer | km-kh |
Korean | ko |
Lao | lo-la |
Latvian | lv |
Lithuanian | lt |
Macedonian | mk-mk |
Malay | ms |
Malayalam | ml-in |
Maltese | mt |
Marathi | mr-in |
Mongolian | mn-mn |
Nepali (Nepal) | ne-np |
Norwegian | no |
Polish | pl |
Portuguese (Brazil) | pt-br |
Portuguese | pt |
Punjabi | pa-guru-in |
Romanian | ro |
Russian | ru |
Serbian | sr-rs |
Sinhala | si-lk |
Slovakian | sk |
Slovenian | sl |
Spanish | es |
Spanish (LATAM) | es-la |
Sundanese | su-id |
Swahili (Kenya) | sw-ke |
Swahili (Tanzania) | sw-tz |
Swedish | sv |
Tamil (India) | ta-in |
Tamil (Malaysia) | ta-my |
Tamil (Singapore) | ta-sg |
Tamil (Sri Lanka) | ta-lk |
Telugu | te-in |
Thai | th-th |
Turkish | tr |
Ukrainian | uk |
Urdu (India) | ur-in |
Urdu (Pakistan) | ur-pk |
Uyghur | ug |
Uzbek | uz-uz |
Vietnamese | vi-vn |
Welsh | cy |
Zulu | zu-za |
Uploading and status
Uploading A File
HttpResponse<String> response=Unirest.post("https://api.amberscript.com/api/jobs/upload-media?transcriptionType=transcription&jobType=direct&language=nl&apiKey={{YOUR_API_KEY}}")
.asString();
import axios from 'axios';
import FormData from 'form-data';
import fs from 'fs';
async function uploadMedia() {
const apiKey = 'YOUR_API_KEY';
const transcriptionType = 'transcription';
const jobType = 'perfect';
const language = 'nl';
const numberOfSpeakers = '2';
const formData = new FormData();
formData.append('file', fs.createReadStream('./path/to/my_file.mp3'));
const url = 'https://api.amberscript.com/api/jobs/upload-media';
const queryString = new URLSearchParams({
apiKey,
transcriptionType,
jobType,
language,
numberOfSpeakers
}).toString();
const options = {
headers: {
...formData.getHeaders()
}
};
try {
const response = await axios.post(`${url}?${queryString}`, formData, options);
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data)
}
}
import requests
url = 'https://api.amberscript.com/api/jobs/upload-media'
filepath = '/Users/userA/Downloads/my-file.mp3'
querystring = {"jobType":"direct","language":"nl","transcriptionType":"transcription","apiKey":"YOUR_API_KEY"}
files = {'file': open(filepath, 'rb')}
response = requests.post(url, files=files, verify=False, params=querystring)
print(response.status_code)
print(response.text)
curl --request POST --url 'https://api.amberscript.com/api/jobs/upload-media?transcriptionType=transcription&jobType=direct&language=nl&apiKey={{YOUR_API_KEY}}' --form file=@./my-file.mp3
Example: Response to a POST request:
{
"jobStatus": {
"jobId": "JOB_ID",
"created": 82800000,
"language": "en",
"notes": null,
"status": "OPEN",
"nrAudioSeconds": 45,
"transcriptionType": "translatedSubtitles",
"filename": "file_name.mp3",
"jobType": "perfect",
"sourceJobId": "SOURCE_JOB_ID",
// only present for translated subtitles jobs.
"targetLanguage": "nl"
// OPTIONAL, translatedSubtitles only
}
}
Upload a file for transcription.
HTTP Request
POST /jobs/upload-media
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
language | en |
Please refer to language code section for the full list |
transcriptionType | transcription |
transcription , captions , translatedSubtitles |
jobType | direct |
perfect , direct |
numberOfSpeakers | 2 |
-1 , 0 , 1 , 2 , 3 , 4 , 5 |
callbackUrl (OPTIONAL) | NONE | YOUR_CALLBACK_URL |
glossaryId (OPTIONAL) | NONE | YOUR_GLOSSARY_ID |
transcriptionStyle (OPTIONAL - Transcript only) | cleanread |
cleanread , verbatim |
turnaroundTime (OPTIONAL - Perfect only) | FIVE_DAYS - transcription /captions , SEVEN_DAYS - translatedSubtitles |
Hint: Get in touch if you need a turnaround time other than the default one. |
targetLanguage (OPTIONAL- TranslatedSubtitle only) | NONE | Automatic languages ('direct')': da , en , es , fi , fr , it , nl , no , pt , ro , ru , sv , uk Manual languages ('perfect'): pl , en , ru , fr-ca , ca , zh , ga , hu , pt , da , de-at , fr , nl , en-au , ko , it , de , fi , cmn , ja , de-ch , en-us , ro , pt-br , nl-be , cs , no , sv , en-uk , es |
Uploading With callbackUrl
- When you make a request with a
callbackUrl
, we send the final status of your upload to this url. - When processing is complete, this status is sent via a
POST
request (see below).
status
can either beDONE
orERROR
.
- Your
callbackUrl
endpoint should respond with any2xx
if you successfully receive the status.
There are times when our system can encounter issues with your job. When that is the case, the callback will be sent with an ERROR status, and the content of the callback will look like this:
{
"jobId": "JOB_ID",
"created": 82800000,
"language": "nl",
"status": "ERROR",
"nrAudioSeconds": 45,
"transcriptionType": "transcription",
"filename": "file_name.mp3",
"jobType": "direct",
"errorMsg": "No speech found"
}
Otherwise, you will get a callback informing you that your job was successfully transcribed.
{
"jobId": "JOB_ID",
"created": 82800000,
"language": "nl",
"status": "DONE",
"nrAudioSeconds": 45,
"transcriptionType": "captions",
"filename": "file_name.mp3",
"jobType": "direct"
}
Uploading Without callbackUrl
- When you make a request without the
callbackUrl
, store the value of thejobId
returned upon a successful call ( seeExample
in right pane). - Use the
jobId
to periodically check the status of the upload request ( e.g. every 5 mins).
status
can either beOPEN
,DONE
orERROR
.
Uploading With glossaryId
When using a glossaryId
with your request, you first need to have created a glossary to be
used. Read here for more information on how to work with glossaries. You can either:
- Create a new glossary and use the
id
of the glossary asglossaryId
in your upload request.
or
- List your previously created glossaries and pick an
id
of the glossary that you want to use asglossaryId
in your upload request.
Number of speakers
- If you know the number of speakers present in your audio file, you can define it by using a number between 1 and 5. It is the most accurate approach to recognize each speaker;
- If you do not know the number of speakers, please use the value '0';
- If your file contains several channels and each speaker is assigned to a specific channel, you can use the value '-1'.
Automatic language identification
You can let the automatic speech recognition engine determine the language of uploaded media automatically. To do so,
you need to set the value of language
request parameter to auto
.
- Supported languages: English, Dutch, German, French and Italian
Note: Automatic language predictions can be wrong and manual specification is recommended. If you need support or have an issue, please get in touch with us via info@amberscript.com.
File requirements:
- max 6GB
- audio or video file
- supported formats:
wav
,mp3
,m4a
,aac
,wma
,mov
,m4v
,mp4
,opus
,ogg
,flac
If you need support for a different file format, please get in touch with us: info (at) amberscript (dot) com
Uploading A File by URL
Upload a file from a remote location - for example a file stored on AWS S3. The file has to be publicly accessible from a URL or it has to be presigned download URL.
Please note that this endpoint uses parameters in the body of the request.
HttpResponse<String> response=Unirest.post("https://api.amberscript.com/api/jobs/upload-media-from-url?apiKey={{YOUR_API_KEY}}")
.body("{\"sourceUrl\":\"https://www.learningcontainer.com/wp-content/uploads/2020/05/sample-mp4-file.mp4\", \"language\":\"en\", \"transcriptionType\":\"transcription\"}", \"jobType\":\"direct\", \"numberOfSpeakers \":\"2\")
.asJson();
import axios from 'axios';
async function uploadMediaFromUrl() {
const apiKey = 'YOUR_API_KEY';
const url = 'https://api.amberscript.com/api/jobs/upload-media-from-url';
const queryString = new URLSearchParams({
apiKey
}).toString();
const body = {
sourceUrl: 'https://www.learningcontainer.com/wp-content/uploads/2020/05/sample-mp4-file.mp4',
transcriptionType: 'transcription',
jobType: 'direct',
language: 'nl',
numberOfSpeakers: '2'
};
const options = {
headers: {
'content-type': 'application/json'
}
};
try {
const response = await axios.post(`${url}?${queryString}`, body, options);
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data)
}
}
import requests
url = 'https://api.amberscript.com/api/jobs/upload-media-from-url'
query_string = {"apiKey": "YOUR_API_KEY"}
body = {"sourceUrl": "https://www.learningcontainer.com/wp-content/uploads/2020/05/sample-mp4-file.mp4", "jobType": "direct",
"language": "nl", "transcriptionType": "transcription", "numberOfSpeakers": "2"}
response = requests.post(url, verify=False, params=query_string, json=body)
print(response.status_code)
print(response.text)
curl --request POST --url 'https://api.amberscript.com/api/jobs/upload-media-from-url?apiKey={{YOUR_API_KEY}}' \
-H "Content-Type: application/json" \
--data '{"sourceUrl" : "https://www.learningcontainer.com/wp-content/uploads/2020/05/sample-mp4-file.mp4","transcriptionType":"transcription","jobType":"direct","language":"nl"}' \
Example: Response to a POST request:
{
"jobStatus": {
"jobId": "JOB_ID",
"created": 82800000,
"language": "en",
"notes": null,
"status": "OPEN",
"nrAudioSeconds": 45,
"transcriptionType": "translatedSubtitles",
"filename": "file_name.mp3",
"jobType": "perfect",
"sourceJobId": "SOURCE_JOB_ID",
// only present for translated subtitles jobs.
"targetLanguage": "nl"
// OPTIONAL, translatedSubtitles only
}
}
HTTP Request
POST /jobs/upload-media-from-url
Request Body Parameters
Parameter | Default | Description/Example |
---|---|---|
language | en |
Please refer to language code section for the full list |
transcriptionType | transcription |
transcription , captions , translatedSubtitles |
jobType | direct |
perfect , direct |
numberOfSpeakers | 2 |
-1 , 0 , 1 , 2 , 3 , 4 , 5 |
sourceUrl | `` | "https://www.learningcontainer.com/wp-content/uploads/2020/05/sample-mp4-file.mp4" |
callbackUrl (OPTIONAL) | NONE | YOUR_CALLBACK_URL |
glossaryId (OPTIONAL) | NONE | YOUR_GLOSSARY_ID |
transcriptionStyle (OPTIONAL - Transcript only) | cleanread |
cleanread , verbatim |
turnaroundTime (OPTIONAL - Perfect only) | FIVE_DAYS - transcription /captions , SEVEN_DAYS - translatedSubtitles |
Hint: Get in touch if you need a turnaround time other than the default one. |
targetLanguage (OPTIONAL- TranslatedSubtitle only) | NONE | Automatic languages ('direct')': da , en , es , fi , fr , it , nl , no , pt , ro , ru , sv , uk Manual languages ('perfect'): pl , en , ru , fr-ca , ca , zh , ga , hu , pt , da , de-at , fr , nl , en-au , ko , it , de , fi , cmn , ja , de-ch , en-us , ro , pt-br , nl-be , cs , no , sv , en-uk , es |
Uploading With callbackUrl
- When you make a request with a
callbackUrl
, we send the final status of your upload to this url. - When processing is complete, this status is sent via a
POST
request (see below).
status
can either beDONE
orERROR
.
- Your
callbackUrl
endpoint should respond with any2xx
if you successfully receive the status.
There are times when our system can encounter issues with your job. When that is the case, the callback will be sent with an ERROR status, and the content of the callback will look like this:
{
"jobId": "JOB_ID",
"created": 82800000,
"language": "nl",
"status": "ERROR",
"nrAudioSeconds": 45,
"transcriptionType": "transcription",
"filename": "file_name.mp3",
"jobType": "direct",
"errorMsg": "No speech found"
}
Otherwise, you will get a callback informing you that your job was successfully transcribed.
{
"jobId": "JOB_ID",
"created": 82800000,
"language": "nl",
"status": "DONE",
"nrAudioSeconds": 45,
"transcriptionType": "captions",
"filename": "file_name.mp3",
"jobType": "direct"
}
Uploading Without callbackUrl
- When you make a request without the
callbackUrl
, store the value of thejobId
returned upon a successful call ( seeExample
in right pane). - Use the
jobId
to periodically check the status of the upload request ( e.g. every 5 mins).
status
can either beOPEN
,DONE
orERROR
.
Number of speakers
- If you know the number of speakers present in your audio file, you can define it by using a number between 1 and 5. It is the most accurate approach to recognize each speaker;
- If you do not know the number of speakers, please use the value '0';
- If your file contains several channels and each speaker is assigned to a specific channel, you can use the value '-1'.
Automatic language identification
You can let the automatic speech recognition engine determine the language of uploaded media automatically. To do so,
you need to set the value of language
request parameter to auto
.
- Supported languages: English, Dutch, German, French and Italian
Note: Automatic language predictions can be wrong and manual specification is recommended. If you need support or have an issue, please get in touch with us via info@amberscript.com.
File requirements:
- max 16GB
- audio or video file
- supported
formats:
wav
,mp3
,mp4
,aac
,m4a
,wma
,opus
,ogg
,flac
,dss
,avi
,wmv
,mov
,m4v
,mpg
,vob
If you need support for a different file format, please get in touch with us: info (at) amberscript (dot) com
Request translated subtitles for an existing manual ('perfect') captions job
HttpResponse<String> response=Unirest.post("https://api.amberscript.com/api/jobs/translatedSubtitles?sourceJobId=SOURCE_JOB_ID&targetLanguage=nl&apiKey=YOUR_API_KEY")
.asString();
async function createTranslatedSubtitles() {
const sourceJobId = 'SOURCE_JOB_ID';
const targetLanguage = 'nl';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs/translatedSubtitles?sourceJobId=${sourceJobId}&targetLanguage=${targetLanguage}&apiKey=${apiKey}`;
try {
const response = await axios.post(url, {}, { headers: { 'content-type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data)
}
}
import requests
url = "https://api.amberscript.com/api/jobs/translatedSubtitles"
querystring = {"sourceJobId":"SOURCE_JOB_ID","targetLanguage":"nl","apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("POST", url, data=payload, params=querystring)
print(response.text)
curl --request POST --url 'https://api.amberscript.com/api/jobs/translatedSubtitles?sourceJobId=SOURCE_JOB_ID&targetLanguage=nl&apiKey=YOUR_API_KEY'
The command returns JSON structured like this:
{
"jobStatus": {
"jobId": "JOB_ID",
"created": 82800000,
"language": "en",
"status": "BUSY",
"nrAudioSeconds": 45,
"transcriptionType": "translatedSubtitles",
"filename": "file_name.mp3",
"jobType": "perfect",
"sourceJobId": "SOURCE_JOB_ID",
"targetLanguage": "nl",
"notes": "job_notes"
}
}
Request for translated subtitles with uploaded file. This endpoint only work for manual ('perfect') job. Translation for Automatic ('direct') captions must be requested during the initial file submission.
HTTP Request
POST /jobs/translatedSubtitles
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
sourceJobId | NONE | SOURCE_JOB_ID |
targetLanguage | pl , en , ru , fr-ca , ca , zh , ga , hu , pt , da , de-at , fr , nl , en-au , ko , it , de , fi , cmn , ja , de-ch , en-us , ro , pt-br , nl-be , cs , no , sv , en-uk , es |
|
turnaroundTime (OPTIONAL) | SEVEN_DAYS |
Hint: Get in touch if you need a turnaround time other than the default one. |
callbackUrl (OPTIONAL) | NONE | YOUR_CALLBACK_URL |
notes (OPTIONAL) | NONE | Job notes |
Getting The Status Of A Transcription
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs/status?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
async function fetchJobStatus() {
const jobId = '6638de0ba17717297470040c';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs/status?jobId=${jobId}&apiKey=${apiKey}`;
try {
const response = await axios.get(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data)
}
}
import requests
url = "https://api.amberscript.com/api/jobs/status"
querystring = {"jobId":"JOB_ID","apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs/status?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The above command returns JSON structured like this:
{
"jobStatus": {
"jobId": "JOB_ID",
"created": 82800000,
"language": "en",
"status": "OPEN",
"jobOptions": {
"transcriptionStyle": "verbatim"
// job options are only present if explicitly requests
},
"nrAudioSeconds": 45,
"transcriptionType": "transcription",
"filename": "file_name.mp3",
"jobType": "direct",
"sourceJobId": "SOURCE_JOB_ID",
// OPTIONAL, translatedSubtitles only
"targetLanguage": "nl"
// OPTIONAL, translatedSubtitles only
"notes": "job_notes"
}
}
Retrieve the status of a specific job.
HTTP Request
GET /jobs/status
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
Exporting
Export To STL
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs/export-stl?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
var request = require("request");
var options = {
method: 'GET',
url: 'https://api.amberscript.com/api/jobs/export-stl',
qs: {jobId: 'JOB_ID', apiKey: 'YOUR_API_KEY'}
};
request(options, function (error, response, body) {
if (error) throw new Error(error);
console.log(body);
});
import requests
url = "https://api.amberscript.com/api/jobs/export-stl"
querystring = {"jobId":"JOB_ID" "apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs/export-stl?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The above command returns a JSON downloadUrl structured like this:
{
"downloadUrl": "https://PROD-SERVER/ebu-stl/FILENAME?X-Amz-Algorithm=HASH_ALGORITHM&X-Amz-Date=CURRENT_DATE&X-Amz-SignedHeaders=host&X-Amz-Expires=TIME_TO_EXPIRATION&X-Amz-Credential=AMZ_CREDENTIAL&X-Amz-Signature=AMZ_SIGNATURE"
}
Export a finished file to STL.
HTTP Request
GET /jobs/export-stl
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
maxNumberOfRows (OPTIONAL) | 2 | Integer between 1 and 2 which sets the maximum number of rows for each subtitle. |
maxScreenTimePerRowSeconds (OPTIONAL) | 2 | Float which sets the maximum number of seconds given for each row of subtitles. |
Export To SRT
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs/export-srt?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
async function exportSRT() {
const jobId = 'JOB_ID';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs/export-srt?jobId=${jobId}&apiKey=${apiKey}`;
try {
const response = await axios.get(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/jobs/export-srt"
querystring = {"jobId":"JOB_ID" "apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs/export-srt?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The command returns SRT structured like this:
1
00:00:00,449 --> 00:00:03,769
Hi, welcome to Amber script, in this short
2
00:00:03,869 --> 00:00:07,400
video, we would like to show you how
you can use Amber script at its full
3
00:00:07,500 --> 00:00:10,189
potential. The first
function we would like to show
4
00:00:10,289 --> 00:00:13,639
you is the edit function.
This allows you to edit errors
Export a finished file to SRT.
HTTP Request
GET /jobs/export-srt
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
maxCharsPerRow (OPTIONAL) | 42 | Integer between 30 and 45 which sets the maximum number of characters per row. |
maxNumberOfRows (OPTIONAL) | 2 | Integer between 1 and 2 which sets the maximum number of rows for each subtitle. |
maxScreenTimePerRowSeconds (OPTIONAL) | 2 | Float which sets the maximum number of seconds given for each row of subtitles. |
Export To VTT
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs/export-vtt?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
async function exportVTT() {
const jobId = 'JOB_ID';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs/export-vtt?jobId=${jobId}&apiKey=${apiKey}`;
try {
const response = await axios.get(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/jobs/export-vtt"
querystring = {"jobId":"JOB_ID" "apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs/export-vtt?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The command returns VTT structured like this:
WEBVTT - created by www.amberscript.com
1
00:00:00.449 --> 00:00:03.769
Hi, welcome to Amber script, in this short
2
00:00:03.869 --> 00:00:07.400
video, we would like to show you how
you can use Amber script at its full
3
00:00:07.500 --> 00:00:10.189
potential. The first
function we would like to show
4
00:00:10.289 --> 00:00:13.639
you is the edit function.
This allows you to edit errors
Export a finished file to VTT.
HTTP Request
GET /jobs/export-vtt
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
maxCharsPerRow (OPTIONAL) | 42 | Integer between 30 and 45 which sets the maximum number of characters per row. |
maxNumberOfRows (OPTIONAL) | 2 | Integer between 1 and 2 which sets the maximum number of rows for each subtitle. |
maxScreenTimePerRowSeconds (OPTIONAL) | 2 | Float which sets the maximum number of seconds given for each row of subtitles. |
Export To TEXT
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs/export-txt?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
async function exportTXT() {
const jobId = 'JOB_ID';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs/export-txt?jobId=${jobId}&apiKey=${apiKey}`;
try {
const response = await axios.get(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/jobs/export-txt"
querystring = {"jobId":"JOB_ID" "apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs/export-txt?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The command returns TXT structured like this:
00:00:00
Speaker 1: Hi, welcome to Amber script, in this short video, we would like to show you how you can use Amber script at its full potential. The first function we would like to show you is the edit function. This allows you to edit errors
Export a finished file to TEXT.
HTTP Request
GET /jobs/export-txt
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
includeTimestamps (OPTIONAL) | true |
Boolean. |
includeSpeakers (OPTIONAL) | true |
Boolean. |
highlightsOnly (OPTIONAL) | false |
Boolean. |
maxCharsPerRow (OPTIONAL) | NONE | Integer which sets the maximum number of characters per row. |
Export To JSON
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs/export-json?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
async function exportJSON() {
const jobId = 'JOB_ID';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs/export-json?jobId=${jobId}&apiKey=${apiKey}`;
try {
const response = await axios.get(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/jobs/export-json"
querystring = {"jobId":"JOB_ID" "apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs/export-json?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The command returns JSON structured like this:
{
"id": "5c9e45057103e464a4c6f477",
"recordId": "RECORD_ID",
"filename": "FILENAME",
"startTimeOffset": 0.0,
"speakers": [
{
"spkid": "spk1",
"name": "Speaker 1"
}
],
"segments": [
{
"speaker": "spk1",
"words": [
{
"start": 0.45,
"end": 1.08,
"duration": 0.63000005,
"text": "Hi,",
"conf": 1.0,
"pristine": true
},
{
"start": 1.11,
"end": 1.65,
"duration": 0.53999996,
"text": "welcome",
"conf": 1.0,
"pristine": true
},
{
"start": 1.65,
"end": 1.8,
"duration": 0.14999998,
"text": "to",
"conf": 1.0,
"pristine": true
},
{
"start": 1.8,
"end": 2.1,
"duration": 0.29999995,
"text": "Amberscript",
"conf": 0.65,
"pristine": true
}
]
}
],
"highlights": []
}
Export a finished file to JSON.
HTTP Request
GET /jobs/export-json
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
Listing and deleting jobs
Delete A Job
HttpResponse<String> response=Unirest.delete("https://api.amberscript.com/api/jobs?jobId=JOB_ID&apiKey=YOUR_API_KEY")
.asString();
async function deleteJob() {
const jobId = 'JOB_ID';
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs?jobId=${jobId}&apiKey=${apiKey}`;
try {
const response = await axios.delete(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data)
}
}
import requests
url = "https://api.amberscript.com/api/jobs"
querystring = {"jobId":"JOB_ID" "apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("DELETE", url, data=payload, params=querystring)
print(response.text)
curl --request DELETE --url 'https://api.amberscript.com/api/jobs?jobId=JOB_ID&apiKey=YOUR_API_KEY'
The command returns JSON structured like this:
{
"message": "Job deleted"
}
Delete a specific job.
HTTP Request
DELETE /jobs
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId | NONE | YOUR_JOB_ID |
Get List Of Jobs
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/jobs?apiKey=YOUR_API_KEY")
.asString();
async function listJobs() {
const apiKey = 'YOUR_API_KEY';
const url = `https://api.amberscript.com/api/jobs?apiKey=${apiKey}`;
try {
const response = await axios.get(url, { headers: { 'Content-Type': 'application/json' } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data)
}
}
import requests
url = "https://api.amberscript.com/api/jobs"
querystring = {"apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/jobs?apiKey=YOUR_API_KEY'
The command returns JSON structured like this:
[
{
"jobId": "5f686d2d8c996402a02bbb92",
"created": 1600679213751,
"language": "nl",
"status": "DONE",
"nrAudioSeconds": 59,
"transcriptionType": "transcription",
"filename": "test.mp4",
"jobType": "perfect",
"jobOptions": {
"transcriptionStyle": "cleanread"
},
"notes": null
},
{
"jobId": "5f686d068c996402a02bbb85",
"created": 1600679174451,
"language": "nl",
"status": "DONE",
"nrAudioSeconds": 191,
"transcriptionType": "transcription",
"filename": "test.mp4",
"jobType": "perfect",
"jobOptions": {
"transcriptionStyle": "cleanread"
},
"notes": null
},
{
"jobId": "5f686d068c996402a02bbb82",
"created": 1600679174415,
"language": "nl",
"status": "DONE",
"nrAudioSeconds": 59,
"transcriptionType": "transcription",
"filename": "test.mp4",
"jobType": "perfect",
"jobOptions": {
"transcriptionStyle": "cleanread"
},
"notes": null
}
]
Get a list of jobs.
HTTP Request
GET /jobs
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
jobId (OPTIONAL) | NONE | YOUR_JOB_ID |
jobType (OPTIONAL) | NONE | Type of the job e.g. perfect . |
status (OPTIONAL) | NONE | OPEN , ERROR or DONE . |
transcriptionType (OPTIONAL) | NONE | Type of transcription e.g. transcription . |
page (OPTIONAL) | 0 |
Page to be retrieved. |
pageSize (OPTIONAL) | 20 |
Number of records to be retrieved for each page (maximum: 100 ). |
Glossary
You can make use of the glossary feature to help improve the quality of your transcription, captions, and translated subtitles. If you already know the names of people/places/organizations, technical terms, or domain-specific terms that are spoken in the media file, these can be added to the glossary to improve the automatic recognition of these terms. Furthermore, for manual services, the glossary is used to aid transcribers in perfecting the file.
- The “names” attribute is used to specify names of people, places, organizations etc.
- The “items” attribute is used to add technical or domain-specific terms along with their descriptions. By including the description of these terms, you provide more clarity and further help our transcribers in making your transcription, captions, or translated subtitles perfect.
Best practices for creating a glossary:
- Add the exact words that should be in the transcription to the glossary. Stems and various forms of words are not supported. For example, if the term “subtitling” is spoken in the media file, specify the term “subtitling” in the glossary, not the term “subtitle”.
- Add the names in the same casing (lowercase/uppercase) that should appear in the transcription. For example, for a name like “Amberscript”, add the name “Amberscript” to the glossary instead of “amberscript”. Similarly, for an acronym like “RSVP”, add the name “RSVP” to the glossary, not “rsvp” or “Rsvp”.
- Avoid including regular words in the glossary such as “the”, “of”, “and” etc., unless they are part of a name such as “University of Amsterdam”. You can add multiple words as a single entry if they belong together, e.g., “University of Amsterdam”.
- Only add uncommon words such as names or technical terms. Common words such as “climate”, “forest” etc. can be avoided.
- The same name or term should not be included more than once.
Get a list of glossaries
HttpResponse<String> response=Unirest.get("https://api.amberscript.com/api/glossary?apiKey=YOUR_API_KEY")
.asString();
import fetch from 'node-fetch';
async function getGlossary() {
const url = 'https://api.amberscript.com/api/glossary';
const queryParams = new URLSearchParams({
apiKey: 'YOUR_API_KEY'
});
const options = {
method: 'GET',
headers: {'Content-Type': 'application/json'},
};
try {
const response = await fetch(`${url}?${queryParams}`, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/glossary"
querystring = {"apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("GET", url, data=payload, params=querystring)
print(response.text)
curl --request GET --url 'https://api.amberscript.com/api/glossary?apiKey=YOUR_API_KEY'
The command returns JSON structured like this:
[
{
"id": "5f686d068c996402a02bbb85",
"userName": "YOUR_USERNAME",
"name": "Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items": [
{
"name": "Item one name",
"description": "description of item one"
},
{
"name": "Item two name",
"description": "description of item two"
}
],
"created": 1600679174451
},
{
"id": "5f686d068c996402a02bbb86",
"userName": "YOUR_USERNAME",
"name": "Name of second glossary",
"names": [
"Test name one",
"Test name two"
],
"items": [
{
"name": "Item one name",
"description": "description of item one"
},
{
"name": "Item two name",
"description": "description of item two"
}
],
"created": 1600679175000
}
]
Get a list of glossaries.
HTTP Request
GET /glossary
Query Parameters
Parameter | Default | Description/Example |
---|---|---|
sortBy (OPTIONAL) | "created" | Field by which to sort the resulting list of glossaries. |
sortDirection (OPTIONAL) | DESC |
DESC or ASC |
Create a glossary
String body="{\n"+
" \"name\": \"Name of first glossary\",\n"+
" \"names\": [\n"+
" \"Test name one\",\n"+
" \"Test name two\"\n"+
" ],\n"+
" \"items\": [\n"+
" {\n"+
" \"name\": \"Item one name\",\n"+
" \"description\": \"description of item one\"\n"+
" },\n"+
" {\n"+
" \"name\": \"Item two name\",\n"+
" \"description\": \"description of item two\"\n"+
" }\n"+
" ]\n"+
"}";
HttpResponse<String> response=Unirest.post("https://api.amberscript.com/api/glossary?apiKey=YOUR_API_KEY")
.header("Content-Type","application/json")
.body(body)
.asString();
async function createGlossary() {
const url = 'https://api.amberscript.com/api/glossary';
const body = {
"name": "Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items": [
{
"name": "Item one name",
"description": "description of item one"
},
{
"name": "Item two name",
"description": "description of item two"
}
]
};
const options = {
method: 'POST',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify(body)
};
const queryParams = new URLSearchParams({
apiKey: 'YOUR_API_KEY'
});
try {
const response = await fetch(`${url}?${queryParams}`, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/glossary"
querystring = {"apiKey":"YOUR_API_KEY"}
payload = "{\n" \
" \"name\": \"Name of first glossary\",\n" \
" \"names\": [\n" \
" \"Test name one\",\n" \
" \"Test name two\"\n" \
" ],\n" \
" \"items\": [\n" \
" {\n" \
" \"name\": \"Item one name\",\n" \
" \"description\": \"description of item one\"\n" \
" },\n" \
" {\n" \
" \"name\": \"Item two name\",\n" \
" \"description\": \"description of item two\"\n" \
" }\n" \
" ]\n" \
"}"
headers = {
'Content-Type': 'application/json'
}
response = requests.request("POST", url, data=payload, headers=headers, params=querystring)
print(response.text)
curl --request POST --url 'https://api.amberscript.com/api/glossary?apiKey=YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{
"name":"Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items":[
{
"name":{{glossaryItem1Name}},
"description":{{glossaryItem1Description}}
},
{
"name":"{{glossaryItem2Name}}",
"description":{{glossaryItem2Description}}
}
]
}'
The command returns JSON structured like this:
{
"id": "5f686d068c996402a02bbb85",
"userName": "YOUR_USERNAME",
"name": "Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items": [
{
"name": "Item one name",
"description": "description of item one"
},
{
"name": "Item two name",
"description": "description of item two"
}
],
"created": 1600679174451
}
Create a glossary.
HTTP Request
POST /glossary
Body JSON
UserGlossary
Attribute | Type | Description | Required |
---|---|---|---|
name | string maxLength: 60 |
Name of the glossary. | Yes |
names | [string] maxItems: 250 maxItemLength: 20 |
Array of names. | No |
items | [object] maxItems: 750 |
Array of glossary items. GlossaryItem format is described in the table below. | No |
GlossaryItem
Attribute | Type | Description | Required |
---|---|---|---|
item.name | string maxLength: 60 |
Term which is being described. | Yes |
item.description | string maxLength: 200 |
Description of the term. | No |
Update a glossary
String body="{\n"+
" \"name\": \"Name of first glossary\",\n"+
" \"names\": [\n"+
" \"Test name one\",\n"+
" \"Test name two\"\n"+
" ],\n"+
" \"items\": [\n"+
" {\n"+
" \"name\": \"Item one name\",\n"+
" \"description\": \"description of item one\"\n"+
" },\n"+
" {\n"+
" \"name\": \"Item two name\",\n"+
" \"description\": \"description of item two\"\n"+
" }\n"+
" ]\n"+
"}";
HttpResponse<String> response=Unirest.put("https://api.amberscript.com/api/glossary/GLOSSARY_ID?apiKey=YOUR_API_KEY")
.header("Content-Type","application/json")
.body(body)
.asString();
async function updateGlossary() {
const url = 'https://api.amberscript.com/api/glossary/GLOSSARY_ID';
const body = {
"name": "Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items": [
{
"name": "Item one name",
"description": "description of item one"
},
{
"name": "Item two name",
"description": "description of item two"
}
]
};
const queryParams = new URLSearchParams({
apiKey: 'YOUR_API_KEY'
});
const options = {
method: 'PUT',
headers: {'Content-Type': 'application/json'},
body: JSON.stringify(body)
};
try {
const response = await fetch(`${url}?${queryParams}`, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/glossary/GLOSSARY_ID"
querystring = {"apiKey":"YOUR_API_KEY"}
payload = "{\n" \
" \"name\": \"Name of first glossary\",\n" \
" \"names\": [\n" \
" \"Test name one\",\n" \
" \"Test name two\"\n" \
" ],\n" \
" \"items\": [\n" \
" {\n" \
" \"name\": \"Item one name\",\n" \
" \"description\": \"description of item one\"\n" \
" },\n" \
" {\n" \
" \"name\": \"Item two name\",\n" \
" \"description\": \"description of item two\"\n" \
" }\n" \
" ]\n" \
"}"
headers = {
'Content-Type': 'application/json'
}
response = requests.request("PUT", url, data=payload, headers=headers, params=querystring)
print(response.text)
curl --request PUT --url 'https://api.amberscript.com/api/glossary/GLOSSARY_ID?apiKey=YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{
"name":"Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items":[
{
"name":{{glossaryItem1Name}},
"description":{{glossaryItem1Description}}
},
{
"name":"{{glossaryItem2Name}}",
"description":{{glossaryItem2Description}}
}
]
}'
The command returns JSON structured like this:
{
"id": "5f686d068c996402a02bbb85",
"userName": "YOUR_USERNAME",
"name": "Name of first glossary",
"names": [
"Test name one",
"Test name two"
],
"items": [
{
"name": "Item one name",
"description": "description of item one"
},
{
"name": "Item two name",
"description": "description of item two"
}
],
"created": 1600679174451
}
Update a specific glossary.
HTTP Request
PUT /glossary/GLOSSARY_ID
Body JSON
UserGlossary
Attribute | Type | Description | Required |
---|---|---|---|
name | string maxLength: 60 |
Name of the glossary. | Yes |
names | [string] maxItems: 250 maxItemLength: 20 |
Array of names. | No |
items | [object] maxItems: 750 |
Array of glossary items. GlossaryItem format is described in the table below. | No |
GlossaryItem
Attribute | Type | Description | Required |
---|---|---|---|
item.name | string maxLength: 60 |
Term which is being described. | Yes |
item.description | string maxLength: 200 |
Description of the term. | No |
Delete a glossary
HttpResponse<String> response=Unirest.delete("https://api.amberscript.com/api/glossary/GLOSSARY_ID?apiKey=YOUR_API_KEY")
.asString();
async function deleteGlossary() {
const url = 'https://api.amberscript.com/api/glossary/6638e42835d0580edd5e35c2';
const queryParams = new URLSearchParams({
apiKey: 'YOUR_API_KEY'
});
const options = {
method: 'DELETE',
headers: {'Content-Type': 'application/json'},
};
try {
const response = await fetch(`${url}?${queryParams}`, options);
const data = await response.text();
console.log(data);
} catch (error) {
console.error('Error:', error.response.data);
}
}
import requests
url = "https://api.amberscript.com/api/glossary/GLOSSARY_ID"
querystring = {"apiKey":"YOUR_API_KEY"}
payload = ""
response = requests.request("DELETE", url, data=payload, params=querystring)
print(response.text)
curl --request DELETE --url 'https://api.amberscript.com/api/glossary/GLOSSARY_ID?apiKey=YOUR_API_KEY'
Delete a specific glossary.
HTTP Request
DELETE /glossary/GLOSSARY_ID
Support
If you need any technical assistance, feel free to contact info (at) amberscript (dot) com
Errors
Amberscript API uses the following error codes:
Error Code | Meaning |
---|---|
400 | Bad Request -- Your request is invalid. Please check your request body and/or parameters. |
401 | Unauthorized -- Your API key is invalid. |
402 | Payment Required -- Insufficient balance for manual or machine services. |
403 | Forbidden -- You do not have access to requested resource. |
404 | Not Found -- The requested resource could not be found. |
405 | Method Not Allowed -- You tried to access a resource with an invalid method. |
406 | Not Acceptable -- You requested a format that isn't json. |
410 | Gone -- The resource requested has been removed from our servers. |
429 | Too Many Requests -- Rate limit reached |
500 | Internal Server Error -- We had a problem with our server. Try again later. |
503 | Service Unavailable -- We're temporarily offline for maintenance. Please try again later. |