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Version: 0.0.x

Post Transcription & Summary - Python

Welcome to the developer guide for implementing a post-transcription feature using the Python SDK. This guide will walk you through the necessary steps to enable post-transcription functionality in your application, allowing users to access transcriptions of recorded meetings.

Moreover, VideoSDK offers flexibility in configuring post-time transcription, allowing you to set up webhooks for this purpose.

Integrating Post Transcription Feature

alt text

In the image above, the recording begins with transcription and summary features turned on. This triggers a webhook call for the start of recording. When the recording stops, another webhook is activated. After the recording, our transcriber starts transcribing, which in turn activates a webhook. Once the transcription is finished, it's sent to the summarizer for summary generation, and then another webhook is triggered.

Step 1: Configure Post Transcription & Summary

  • In this step, we set up the configuration for post transcription and summary generation. We define the webhook URL where the webhooks will be received.
from videosdk import RecordingConfig, PostTranscriptionConfig, SummaryConfig

recording_config = RecordingConfig(
prompt="Write summary in sections like Title, Agenda, Speakers, Action Items, Outlines, Notes and Summary"

Step 2: Start Recording with Transcription Configuration

  • Once the configuration is set, we initiate the recording process for the meeting, incorporating the transcription configuration we defined earlier.
  # Start Recording

Step 3: Stop Recording

  • When the meeting concludes or recording is no longer needed, we stop the recording process.
  # Stop Recording

Step 4: Fetch Post Transcriptions

  • After the meeting recording is stopped, post transcription and summary data can be obtained using the Post Transcription API.

  • The API provides information such as the status of transcription, file paths for transcription data in various formats (JSON, SRT, TXT, TSV, VTT), and a summarized text file.

  • The transcription document is structured as follows:

"id": "40b0a4ed-9842-40c9-a288-e4b1bf98a90a",
"status": "completed",
"roomId": "abc-xyzw-lmno",
"sessionId": "621497578bea0d0404c35c4c",
"recordingId": "65d303d6d2c373dfd71b38a2",
"filePath": "",
"transcriptionFilePaths": {
"json": "",
"srt": "",
"txt": "",
"tsv": "",
"vtt": ""
"summarizedFilePaths": {
"txt": ""
"userStorage": null,
"start": "2024-02-27T16:00:36.828Z",
"end": "2024-02-27T16:01:46.939Z"

API Reference

The API references for all the methods utilized in this guide are provided below.

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