deepgram-captions 1.0.5

A Python package for generating captions.

Deepgram Python Captions

This package is the Python implementation of Deepgram's WebVTT and SRT formatting. Given a transcription, this package can return a valid string to store as WebVTT or SRT caption files.

Installation

pip install deepgram-captions

WebVTT from Deepgram Transcriptions

from deepgram_captions import DeepgramConverter, webvtt

transcription = DeepgramConverter(dg_response)
captions = webvtt(transcription)

SRT from Deepgram Transcriptions

from deepgram_captions import DeepgramConverter, srt

transcription = DeepgramConverter(dg_response)
captions = srt(transcription)

Other Converters

Whisper Timestamped

from deepgram_captions import WhisperTimestampedConverter, webvtt

transcription = WhisperTimestampedConverter(whisper_response)
captions = webvtt(transcription)

Whisper Timestamped adds word-level timestamps to OpenAI's Whisper speech-to-text transcriptions. Word-level timestamps are required for this package to create captions, which is why we have created the captions converter for Whisper Timestamped (and not OpenAI's Whisper).

Assembly AI

from deepgram_captions import AssemblyAIConverter, webvtt

transcription = AssemblyAIConverter(assembly_response)
captions = webvtt(transcription)

Output WebVTT

When transcribing https://dpgr.am/spacewalk.wav, and running it through our library, this is the WebVTT output.

from deepgram_captions.converters import DeepgramConverter
from deepgram_captions.webvtt import webvtt

transcription = DeepgramConverter(dg_response)
captions = webvtt(transcription)
print(captions)

This is the result:

WEBVTT

NOTE
Transcription provided by Deepgram
Request Id: 686278aa-d315-4aeb-b2a9-713615544366
Created: 2023-10-27T15:35:56.637Z
Duration: 25.933313
Channels: 1

00:00:00.080 --> 00:00:03.220
Yeah. As as much as, it's worth celebrating,

00:00:04.400 --> 00:00:05.779
the first, spacewalk,

00:00:06.319 --> 00:00:07.859
with an all female team,

00:00:08.475 --> 00:00:10.715
I think many of us are looking forward

00:00:10.715 --> 00:00:13.215
to it just being normal and

00:00:13.835 --> 00:00:16.480
I think if it signifies anything, It is

00:00:16.779 --> 00:00:18.700
to honor the the women who came before

00:00:18.700 --> 00:00:21.680
us who, were skilled and qualified,

00:00:22.300 --> 00:00:24.779
and didn't get the same opportunities that we

00:00:24.779 --> 00:00:25.439
have today.

Output SRT

When transcribing https://dpgr.am/spacewalk.wav, and running it through our library, this is the SRT output.

from deepgram_captions import DeepgramConverter, srt

transcription = DeepgramConverter(dg_response)
captions = srt(transcription)
print(captions)

This is the result:

1
00:00:00,080 --> 00:00:03,220
Yeah. As as much as, it's worth celebrating,

2
00:00:04,400 --> 00:00:07,859
the first, spacewalk, with an all female team,

3
00:00:08,475 --> 00:00:10,715
I think many of us are looking forward

4
00:00:10,715 --> 00:00:14,235
to it just being normal and I think

5
00:00:14,235 --> 00:00:17,340
if it signifies anything, It is to honor

6
00:00:17,340 --> 00:00:19,820
the the women who came before us who,

7
00:00:20,140 --> 00:00:23,580
were skilled and qualified, and didn't get the

8
00:00:23,580 --> 00:00:25,439
same opportunities that we have today.

Documentation

You can learn more about the Deepgram API at developers.deepgram.com.

Development and Contributing

Interested in contributing? We ❤️ pull requests!

To make sure our community is safe for all, be sure to review and agree to our Code of Conduct. Then see the Contribution guidelines for more information.

Getting Help

We love to hear from you so if you have questions, comments or find a bug in the project, let us know! You can either:

• Open an issue in this repository
• Join the Deepgram Github Discussions Community
• Join the Deepgram Discord Community