Youtube Subtitles API

Youtube Subtitles API

YouTube Subtitles API allows developers to fetch closed captions and subtitles for YouTube videos. It offers access to transcripts for multiple languages, making it a useful tool for video creators and publishers looking to enhance the accessibility of their content.

API description

About the API:

The YouTube Subtitles API is a tool for developers who need to retrieve closed captions and subtitles for YouTube videos. This API provides access to transcripts for multiple languages, making it a valuable resource for video content creators, publishers, and accessibility advocates. With this API, developers can easily integrate YouTube subtitles into their applications, providing viewers with an enhanced viewing experience.

One of the key benefits of the YouTube Subtitles API is its ability to provide access to subtitles in multiple languages. This enables developers to create multilingual applications, allowing users to access video content in their preferred language. This can help to increase the reach of video content, making it accessible to a wider audience and expanding its potential market.

Another benefit of the API is its ease of use. The API provides a simple, straightforward interface that makes it easy for developers to retrieve subtitles and closed captions. With clear documentation and a user-friendly interface, developers can quickly get started using the API and integrating it into their applications.

The YouTube Subtitles API is an essential tool for anyone looking to enhance the accessibility of their video content. Whether you are a video creator, publisher, or developer, this API provides a powerful solution for retrieving subtitles and closed captions from YouTube videos, helping to ensure that your content is accessible to as wide an audience as possible.

 

What this API receives and what your API provides (input/output)?

Pass the video ID from where you want to get the subtitles from. 

 

What are the most common uses cases of this API?

  1. Multilingual Video Platforms: Video platforms that cater to a global audience can use the YouTube Subtitles API to provide subtitles in multiple languages, making their content accessible to a wider audience.

  2. Video Accessibility: The API can be used by developers to build applications that make video content accessible to individuals with hearing impairments or visual disabilities.

  3. Video Transcription Services: Companies that offer video transcription services can use the API to retrieve captions and subtitles from YouTube videos and transcribe them into text format.

  4. Video Translation Services: Similar to transcription services, video translation companies can use the API to retrieve subtitles in one language and translate them into another.

  5. Video Analytics: Companies that provide video analytics can use the API to analyze the closed captions and subtitles of videos to gain insights into their audience’s behavior and preferences.

  6. Educational Applications: The API can be used to develop educational applications that provide video content with subtitles in multiple languages, making it accessible to students around the world.

 

Are there any limitations to your plans?

Besides API call limitations per month, there is no other limitation. 

API Documentation

Endpoints


Get subtitle in SRT format

 



                                                                            
GET https://zylalabs.com/api/1213/youtube+subtitles+api/1052/get+sub+in+srt
                                                                            
                                                                        

Get Sub in SRT - Endpoint Features
Object Description
video_id [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            WEBVTT

00:00:00.359 --> 00:00:03.879
this is Young Simon cole performing in

00:00:03.879 --> 00:00:05.799
America's Got Talent in front of Simon

00:00:05.799 --> 00:00:08.500
cole because this is deep fake and this

00:00:08.500 --> 00:00:09.000
is a deep fake of Ukraine's president

00:00:09.000 --> 00:00:12.940
falada mazelinski asking his soldiers to

00:00:12.940 --> 00:00:13.200
surrender

00:00:13.200 --> 00:00:15.420
one is entertaining while the other is

00:00:15.420 --> 00:00:18.180
alarming about the dangers of deep fake

00:00:18.180 --> 00:00:22.539
these are the two faces of deep fake

00:00:22.539 --> 00:00:24.000
due to the term fake the phrase deep

00:00:24.000 --> 00:00:27.760
fake evokes a negative feeling

00:00:27.760 --> 00:00:29.619
companies like metaphysic are doing

00:00:29.619 --> 00:00:30.180
everything they can to dispel the

00:00:30.180 --> 00:00:32.040
misconceptions about deep fakes in the

00:00:32.040 --> 00:00:33.180
public eye

00:00:33.180 --> 00:00:35.219
this is what they did on America's Got

00:00:35.219 --> 00:00:36.420
turns

00:00:36.420 --> 00:00:38.100
there are many practical applications

00:00:38.100 --> 00:00:40.320
for deep fakes across a wide range of

00:00:40.320 --> 00:00:43.140
sectors for instance news outlets May

00:00:43.140 --> 00:00:46.079
publish news 24 hours a day seven days a

00:00:46.079 --> 00:00:48.820
week without the actual reporter present

00:00:48.820 --> 00:00:50.739
by using a deep fake of their own

00:00:50.739 --> 00:00:51.879
reporter

00:00:51.879 --> 00:00:53.039
they may reduce studio and labor costs

00:00:53.039 --> 00:00:55.260
saving the business a great deal of time

00:00:55.260 --> 00:00:57.579
and money

00:00:57.579 --> 00:00:60.699
the news anchor Kim Juha from the Korean

00:00:60.699 --> 00:01:02.399
television network mbn was deep faked

00:01:02.399 --> 00:01:04.780
for viewers

00:01:04.780 --> 00:01:06.119
the news reader would be a fake as the

00:01:06.119 --> 00:01:08.920
channel had previously informed viewers

00:01:08.920 --> 00:01:11.619
and Kim Joo has still employed

00:01:11.619 --> 00:01:14.560
however mbn stated that it intended to

00:01:14.560 --> 00:01:15.000
keep using the deet fake for some

00:01:15.000 --> 00:01:17.619
breaking news reports

00:01:17.619 --> 00:01:19.960
and deep frame a the South Korean

00:01:19.960 --> 00:01:21.420
company that created the Deep fake has

00:01:21.420 --> 00:01:23.860
stated that it is looking for media

00:01:23.860 --> 00:01:26.560
buyers in China and the US which has

00:01:26.560 --> 00:01:27.360
some people worried that news readers

00:01:27.360 --> 00:01:29.979
may become obsolete

00:01:29.979 --> 00:01:31.380
a tick tock account solely dedicated to

00:01:31.380 --> 00:01:34.540
Tom Cruise deep fakes has been created

00:01:34.540 --> 00:01:36.640
as a result of how far deep fakes have

00:01:36.640 --> 00:01:38.619
advanced in recent years

00:01:38.619 --> 00:01:39.479
videos of Crews doing everything

00:01:39.479 --> 00:01:41.280
including washing his hands and playing

00:01:41.280 --> 00:01:44.740
golf as well as doing magic tricks are

00:01:44.740 --> 00:01:45.360
available online

00:01:45.360 --> 00:01:48.700
the same firm that produced a convincing

00:01:48.700 --> 00:01:50.860
imitation of Simon Cowell metaphysic

00:01:50.860 --> 00:01:51.119
make this

00:01:51.119 --> 00:01:53.860
there are many potential uses of deep

00:01:53.860 --> 00:01:55.780
fakes in the film industry

00:01:55.780 --> 00:01:56.460
you may bring a deceased actor or

00:01:56.460 --> 00:01:58.780
actress back

00:01:58.780 --> 00:01:59.399
it is debatable for an ethical

00:01:59.399 --> 00:02:01.540
standpoint

00:02:01.540 --> 00:02:03.939
however if we then consider ethics it's

00:02:03.939 --> 00:02:05.860
quite doable and simple

00:02:05.860 --> 00:02:07.380
also it is probably far less expensive

00:02:07.380 --> 00:02:09.479
than alternative choices

00:02:09.479 --> 00:02:12.819
deep fakes enabled translated films that

00:02:12.819 --> 00:02:14.980
feature the original actors since they

00:02:14.980 --> 00:02:17.160
can modify footage and duplicate voices

00:02:17.160 --> 00:02:19.140
the voices resemble the original cast

00:02:19.140 --> 00:02:20.220
members

00:02:20.220 --> 00:02:22.440
and critically the lip motions even

00:02:22.440 --> 00:02:25.660
match the words at it with the help of

00:02:25.660 --> 00:02:27.060
positive deep fakes we can thus better

00:02:27.060 --> 00:02:30.180
exchange ideas movies and other creative

00:02:30.180 --> 00:02:33.940
works on a global scale even those with

00:02:33.940 --> 00:02:35.680
tighter finances

00:02:35.680 --> 00:02:37.599
this should increase the variety of

00:02:37.599 --> 00:02:39.000
entertainment and content we consume

00:02:39.000 --> 00:02:42.519
in other words deep fakes can overcome

00:02:42.519 --> 00:02:43.379
language barriers and increase the

00:02:43.379 --> 00:02:46.660
accessibility of content

00:02:46.660 --> 00:02:49.660
deep fakes aren't just found in videos

00:02:49.660 --> 00:02:51.940
a rapidly expanding field with a vast

00:02:51.940 --> 00:02:54.180
array of uses is deep fake audio

00:02:54.180 --> 00:02:57.580
deep learning algorithms can now create

00:02:57.580 --> 00:02:59.099
realistic audio deep fakes with just a

00:02:59.099 --> 00:03:01.780
few hours of audio of the person whose

00:03:01.780 --> 00:03:03.819
voice has been replicated

00:03:03.819 --> 00:03:05.459
once a model of a voice is created that

00:03:05.459 --> 00:03:08.800
person can be made to say anything

00:03:08.800 --> 00:03:10.080
thanks to deep fake audio programmers

00:03:10.080 --> 00:03:12.060
may now allow gamer characters to say

00:03:12.060 --> 00:03:14.400
anything in game rather than depending

00:03:14.400 --> 00:03:16.260
on a small number of lines that were

00:03:16.260 --> 00:03:19.140
produced before the game was released

00:03:19.140 --> 00:03:21.239
some people use this technology to

00:03:21.239 --> 00:03:24.519
commit financial fraud data breaches

00:03:24.519 --> 00:03:26.159
phishing scams automated misinformation

00:03:26.159 --> 00:03:29.680
attacks and the spread of misleading

00:03:29.680 --> 00:03:30.180
information from sources that are

00:03:30.180 --> 00:03:32.920
normally trustworthy

00:03:32.920 --> 00:03:34.959
critics also point out the risks of

00:03:34.959 --> 00:03:36.819
utilizing deed fakes to further a

00:03:36.819 --> 00:03:38.099
political agenda such as by creating

00:03:38.099 --> 00:03:40.900
credible fake news

00:03:40.900 --> 00:03:42.060
politicians have also employed deep fake

00:03:42.060 --> 00:03:43.260
videos

00:03:43.260 --> 00:03:46.319
in 2018 a Belgian political party made

00:03:46.319 --> 00:03:48.879
public a video showing Donald Trump

00:03:48.879 --> 00:03:50.099
pressing Belgium to leave the Paris

00:03:50.099 --> 00:03:52.260
climate Accord in a speech

00:03:52.260 --> 00:03:56.739
Trump never gave that speech however it

00:03:56.739 --> 00:03:57.239
was a deep fake

00:03:57.239 --> 00:03:60.519
it can be used to scam people by using

00:03:60.519 --> 00:04:02.560
the identities of popular people

00:04:02.560 --> 00:04:04.540
and there is enough data on social media

00:04:04.540 --> 00:04:06.640
to identify a certain influencer or

00:04:06.640 --> 00:04:07.959
celebrity

00:04:07.959 --> 00:04:09.700
there are thousands of photos and videos

00:04:09.700 --> 00:04:11.159
online which can be used as training

00:04:11.159 --> 00:04:13.200
data to create frauds in the name of

00:04:13.200 --> 00:04:15.239
authentic people this is some of the

00:04:15.239 --> 00:04:17.400
reasons why the Ali Community is afraid

00:04:17.400 --> 00:04:19.199
of making deep faking available to

00:04:19.199 --> 00:04:21.760
everyone regardless of their background

00:04:21.760 --> 00:04:24.060
just like AI image generators

00:04:24.060 --> 00:04:27.300
just like deep fakes AI image generators

00:04:27.300 --> 00:04:29.220
can be used for illegal activities as

00:04:29.220 --> 00:04:31.199
platforms like Dali become hyper

00:04:31.199 --> 00:04:34.840
realistic and look genuine

00:04:34.840 --> 00:04:37.540
on GitHub a lot of deep fake software

00:04:37.540 --> 00:04:38.340
may be discovered

00:04:38.340 --> 00:04:41.560
deed fake production is legal because

00:04:41.560 --> 00:04:42.240
some of these apps are only used for

00:04:42.240 --> 00:04:45.520
pure entertainment but other apps are

00:04:45.520 --> 00:04:47.100
much more likely to be used maliciously

00:04:47.100 --> 00:04:49.199
many experts predict that as technology

00:04:49.199 --> 00:04:52.540
advances deep fakes will become much

00:04:52.540 --> 00:04:54.580
more sophisticated and pose more

00:04:54.580 --> 00:04:56.800
substantial hazards to the public in the

00:04:56.800 --> 00:04:58.780
form of electoral meddling political

00:04:58.780 --> 00:05:01.380
unrest and increased criminal activity

00:05:01.380 --> 00:05:03.300
while deep fakes will only get more

00:05:03.300 --> 00:05:05.860
realistic with time as techniques

00:05:05.860 --> 00:05:07.840
improve we're not wholly defenseless

00:05:07.840 --> 00:05:09.820
when it comes to countering them

00:05:09.820 --> 00:05:11.740
deep fake detection techniques are being

00:05:11.740 --> 00:05:14.500
developed by several businesses some of

00:05:14.500 --> 00:05:16.500
which are startups for instance sensity

00:05:16.500 --> 00:05:18.479
has created a platform for deep fake

00:05:18.479 --> 00:05:21.520
identification that works like an

00:05:21.520 --> 00:05:23.800
antivirus and notifies users through

00:05:23.800 --> 00:05:25.720
email when they are watching something

00:05:25.720 --> 00:05:27.699
that contains the telltale signs of AI

00:05:27.699 --> 00:05:29.860
generated fake media

00:05:29.860 --> 00:05:31.960
the Deep learning techniques employed by

00:05:31.9...
                                                                                                                                                                                                                    
                                                                                                    

Get Sub in SRT - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/1213/youtube+subtitles+api/1052/get+sub+in+srt?video_id=Wrald_EZgDQ' --header 'Authorization: Bearer YOUR_API_KEY' 

    

Get Subtitle in JSON format



                                                                            
GET https://zylalabs.com/api/1213/youtube+subtitles+api/1053/get+subtitle+in+json+format
                                                                            
                                                                        

Get Subtitle in JSON format - Endpoint Features
Object Description
video_id [Required]
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            [{"text": "this is Young Simon cole performing in", "start": 0.359, "duration": 4.44}, {"text": "America's Got Talent in front of Simon", "start": 2.879, "duration": 4.621}, {"text": "cole because this is deep fake and this", "start": 4.799, "duration": 4.201}, {"text": "is a deep fake of Ukraine's president", "start": 7.5, "duration": 4.44}, {"text": "falada mazelinski asking his soldiers to", "start": 9.0, "duration": 4.2}, {"text": "surrender", "start": 11.94, "duration": 3.48}, {"text": "one is entertaining while the other is", "start": 13.2, "duration": 4.98}, {"text": "alarming about the dangers of deep fake", "start": 15.42, "duration": 6.119}, {"text": "these are the two faces of deep fake", "start": 18.18, "duration": 5.82}, {"text": "due to the term fake the phrase deep", "start": 21.539, "duration": 5.221}, {"text": "fake evokes a negative feeling", "start": 24.0, "duration": 4.619}, {"text": "companies like metaphysic are doing", "start": 26.76, "duration": 3.42}, {"text": "everything they can to dispel the", "start": 28.619, "duration": 3.421}, {"text": "misconceptions about deep fakes in the", "start": 30.18, "duration": 3.0}, {"text": "public eye", "start": 32.04, "duration": 3.179}, {"text": "this is what they did on America's Got", "start": 33.18, "duration": 3.24}, {"text": "turns", "start": 35.219, "duration": 2.881}, {"text": "there are many practical applications", "start": 36.42, "duration": 3.9}, {"text": "for deep fakes across a wide range of", "start": 38.1, "duration": 5.04}, {"text": "sectors for instance news outlets May", "start": 40.32, "duration": 5.759}, {"text": "publish news 24 hours a day seven days a", "start": 43.14, "duration": 4.68}, {"text": "week without the actual reporter present", "start": 46.079, "duration": 3.66}, {"text": "by using a deep fake of their own", "start": 47.82, "duration": 3.059}, {"text": "reporter", "start": 49.739, "duration": 3.3}, {"text": "they may reduce studio and labor costs", "start": 50.879, "duration": 4.381}, {"text": "saving the business a great deal of time", "start": 53.039, "duration": 3.54}, {"text": "and money", "start": 55.26, "duration": 4.439}, {"text": "the news anchor Kim Juha from the Korean", "start": 56.579, "duration": 5.82}, {"text": "television network mbn was deep faked", "start": 59.699, "duration": 4.081}, {"text": "for viewers", "start": 62.399, "duration": 3.72}, {"text": "the news reader would be a fake as the", "start": 63.78, "duration": 4.14}, {"text": "channel had previously informed viewers", "start": 66.119, "duration": 4.5}, {"text": "and Kim Joo has still employed", "start": 67.92, "duration": 5.64}, {"text": "however mbn stated that it intended to", "start": 70.619, "duration": 4.381}, {"text": "keep using the deet fake for some", "start": 73.56, "duration": 3.059}, {"text": "breaking news reports", "start": 75.0, "duration": 3.96}, {"text": "and deep frame a the South Korean", "start": 76.619, "duration": 4.801}, {"text": "company that created the Deep fake has", "start": 78.96, "duration": 3.9}, {"text": "stated that it is looking for media", "start": 81.42, "duration": 4.14}, {"text": "buyers in China and the US which has", "start": 82.86, "duration": 4.5}, {"text": "some people worried that news readers", "start": 85.56, "duration": 3.419}, {"text": "may become obsolete", "start": 87.36, "duration": 4.02}, {"text": "a tick tock account solely dedicated to", "start": 88.979, "duration": 4.561}, {"text": "Tom Cruise deep fakes has been created", "start": 91.38, "duration": 4.26}, {"text": "as a result of how far deep fakes have", "start": 93.54, "duration": 4.079}, {"text": "advanced in recent years", "start": 95.64, "duration": 3.839}, {"text": "videos of Crews doing everything", "start": 97.619, "duration": 3.661}, {"text": "including washing his hands and playing", "start": 99.479, "duration": 4.261}, {"text": "golf as well as doing magic tricks are", "start": 101.28, "duration": 4.08}, {"text": "available online", "start": 103.74, "duration": 3.96}, {"text": "the same firm that produced a convincing", "start": 105.36, "duration": 4.5}, {"text": "imitation of Simon Cowell metaphysic", "start": 107.7, "duration": 3.419}, {"text": "make this", "start": 109.86, "duration": 3.0}, {"text": "there are many potential uses of deep", "start": 111.119, "duration": 3.661}, {"text": "fakes in the film industry", "start": 112.86, "duration": 3.6}, {"text": "you may bring a deceased actor or", "start": 114.78, "duration": 3.0}, {"text": "actress back", "start": 116.46, "duration": 2.939}, {"text": "it is debatable for an ethical", "start": 117.78, "duration": 2.76}, {"text": "standpoint", "start": 119.399, "duration": 3.54}, {"text": "however if we then consider ethics it's", "start": 120.54, "duration": 4.32}, {"text": "quite doable and simple", "start": 122.939, "duration": 4.441}, {"text": "also it is probably far less expensive", "start": 124.86, "duration": 4.619}, {"text": "than alternative choices", "start": 127.38, "duration": 4.439}, {"text": "deep fakes enabled translated films that", "start": 129.479, "duration": 4.501}, {"text": "feature the original actors since they", "start": 131.819, "duration": 5.341}, {"text": "can modify footage and duplicate voices", "start": 133.98, "duration": 5.16}, {"text": "the voices resemble the original cast", "start": 137.16, "duration": 3.06}, {"text": "members", "start": 139.14, "duration": 3.3}, {"text": "and critically the lip motions even", "start": 140.22, "duration": 4.44}, {"text": "match the words at it with the help of", "start": 142.44, "duration": 4.62}, {"text": "positive deep fakes we can thus better", "start": 144.66, "duration": 5.52}, {"text": "exchange ideas movies and other creative", "start": 147.06, "duration": 5.88}, {"text": "works on a global scale even those with", "start": 150.18, "duration": 4.5}, {"text": "tighter finances", "start": 152.94, "duration": 3.659}, {"text": "this should increase the variety of", "start": 154.68, "duration": 4.32}, {"text": "entertainment and content we consume", "start": 156.599, "duration": 4.92}, {"text": "in other words deep fakes can overcome", "start": 159.0, "duration": 4.379}, {"text": "language barriers and increase the", "start": 161.519, "duration": 4.141}, {"text": "accessibility of content", "start": 163.379, "duration": 5.281}, {"text": "deep fakes aren't just found in videos", "start": 165.66, "duration": 5.28}, {"text": "a rapidly expanding field with a vast", "start": 168.66, "duration": 5.52}, {"text": "array of uses is deep fake audio", "start": 170.94, "duration": 5.64}, {"text": "deep learning algorithms can now create", "start": 174.18, "duration": 4.919}, {"text": "realistic audio deep fakes with just a", "start": 176.58, "duration": 4.2}, {"text": "few hours of audio of the person whose", "start": 179.099, "duration": 3.72}, {"text": "voice has been replicated", "start": 180.78, "duration": 4.679}, {"text": "once a model of a voice is created that", "start": 182.819, "duration": 4.981}, {"text": "person can be made to say anything", "start": 185.459, "duration": 4.621}, {"text": "thanks to deep fake audio programmers", "start": 187.8, "duration": 4.26}, {"text": "may now allow gamer characters to say", "start": 190.08, "duration": 4.32}, {"text": "anything in game rather than depending", "start": 192.06, "duration": 4.2}, {"text": "on a small number of lines that were", "start": 194.4, "duration": 4.74}, {"text": "produced before the game was released", "start": 196.26, "duration": 4.979}, {"text": "some people use this technology to", "start": 199.14, "duration": 4.379}, {"text": "commit financial fraud data breaches", "start": 201.239, "duration": 4.92}, {"text": "phishing scams automated misinformation", "start": 203.519, "duration": 5.161}, {"text": "attacks and the spread of misleading", "start": 206.159, "duration": 4.021}, {"text": "information from sources that are", "start": 208.68, "duration": 3.24}, {"text": "normally trustworthy", "start": 210.18, "duration": 3.779}, {"text": "critics also point out the risks of", "start": 211.92, "duration": 3.899}, {"text": "utilizing deed fakes to further a", "start": 213.959, "duration": 4.14}, {"text": "political agenda such as by creating", "start": 215.819, "duration": 4.081}, {"text": "credible fake news", "start": 218.099, "duration": 3.961}, {"text": "politicians have also employed deep fake", "start": 219.9, "duration": 3.36}, {"text": "videos", "start": 222.06, "duration": 4.259}, {"text": "in 2018 a Belgian political party made", "start": 223.26, "duration": 4.619}, {"text": "public a video showing Donald Trump", "start": 226.319, "duration": 3.78}, {"text": "pressing Belgium to leave the Paris", "start": 227.879, "duration": 4.381}, {"text": "climate Accord in a speech", "start": 230.099, "duration": 5.64}, {"text": "Trump never gave that speech however it", "start": 232.26, "duration": 4.979}, {"text": "was a deep fake", "start": 235.739, "duration": 3.78}, {"text": "it can be used to scam people by using", "start": 237.239, "duration": 4.321}, {"text": "the identities of popular people", "start": 239.519, "duration": 4.021}, {"text": "and there is enough data on social media", "start": 241.56, "duration": 4.08}, {"text": "to identify a certain influencer or", "start": 243.54, "duration": 3.419}, {"text": "celebrity", "start": 245.64, "duration": 3.06}, {"text": "there are thousands of photos and videos", "start": 246.959, "duration": 4.2}, {"text": "online which can be used as training", "start": 248.7, "duration": 4.5}, {"text": "data to create frauds in the name of", "start": 251.159, "duration": 4.08}, {"text": "authentic people this is some of the", "start": 253.2, "duration": 4.2}, {"text": "reasons why the Ali Community is afraid", "start": 255.239, "duration": 3.96}, {"text": "of making deep faking available to", "start": 257.4, "duration": 3.36}, {"text": "everyone regardless of their background", "start": 259.199, "durat...
                                                                                                                                                                                                                    
                                                                                                    

Get Subtitle in JSON format - CODE SNIPPETS


curl --location --request GET 'https://zylalabs.com/api/1213/youtube+subtitles+api/1053/get+subtitle+in+json+format?video_id=Wrald_EZgDQ' --header 'Authorization: Bearer YOUR_API_KEY' 

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Youtube Subtitles API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.

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Prices are based on a recurring monthly subscription depending on the plan selected — plus overage fees applied when a developer exceeds a plan’s quota limits. In this example, you'll see the base plan amount as well as a quota limit of API requests. Be sure to notice the overage fee because you will be charged for each additional request.

Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.

Just go to the pricing page of that API and select the plan that you want to upgrade to. You will only be charged the full amount of that plan, but you will be enjoying the features that the plan offers right away.

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 Service Level
100%
 Response Time
1,145ms

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