Transcript Seeker is an open-source transcription playground powered by transcription APIs and the meeting bot API of Meeting BaaS 🐟.

With Transcript Seeker, you can easily upload audio or video files, record a video-meeting and transcribe your content. The interface then allows you to:

• Visualize transcripts synced with your media
• Navigate through content by clicking on specific words
• Use speaker diarization from transcription APIs or the Meeting BaaS 🐟 bot API
• Access additional features like summarization and named entity recognition

As Transcript Seeker is open-source, you can customize and extend those functionalities. Feel free to check out the to-do list on the GitHub repository, to contribute or see what's coming next.

Features

• Synchronized Playback: Click on any word in the transcript to jump to that point in the recording.
• AI Interaction: Chat with transcripts using an OpenAI integration and Large Language Models (LLMs).
• Annotation: Add notes to recordings manually or automatically with AI summaries provided by the APIs you're using.
• File Transcription: Upload video/audio recordings and transcribe using the transcription API of your choice. Compatible APIs include: Whisper, Gladia, Deepgram and AssemblyAI.
• Meeting Recording: Generate recordings with metadata using the Meeting Bot as a Service (BaaS) 🐟 API for video-meetings on: Zoom, Google Meet, and Microsoft Teams.
• File Management: Upload, load and store local or distant file recordings.

Deployment Options

• Browser-based setup:

  • Runs directly in your browser
  • Uses IndexedDB for local storage
  • Provides an easy and quick setup
  • Offers offline functionality in standalone mode

• Server-based setup:

  • Option to run with an Express-JS backend
  • Easy to deploy and scale

Tech Stack

• Frontend: React, Vite, TypeScript, TailwindCSS, IndexedDB
• Media Playback: Vidstack
• Optional Backend: Express-JS

Getting Started

To launch Transcript Seeker, first make sure you have Git and Node.js.

Then head over to Transcript docs for installation steps.

Resources

• Clone on GitHub
• Try Online