TranscriptX

TranscriptX

Think with your transcripts — on your machine.

Import conversations you already have. See themes, speakers, and evidence in one place. Optional local AI stays on your computer. TranscriptX does not transcribe audio — bring files from WhisperX, Scriberr, noScribe, Otter, and similar tools.

See how it works Install

The application

After a run you can read an Overview, open the transcript, name speakers, and scan Insights. Charts lives in the same View menu for visual module outputs.

Overview: summary, themes, and speaker cards after an analysis run
Overview — what stood out in this conversation
Transcript view with named speakers, timestamps, and search
Transcript — the lines, with names and search
Speaker Identification: name diarized speakers from their lines
Speaker ID — turn SPEAKER_00 into a real name
Insights: themes, summaries, and highlights for a finished run
Insights — themes and highlights (Charts is next door)

What can I do with it?

  • Understand themes across a conversation
  • Compare speakers — who said what, and how they interact
  • Investigate a question and jump back to the original lines
  • Analyse several conversations together over time
  • Correct the transcript while you read
  • Export findings as HTML or a ZIP you keep

Explore the workflows for step-by-step jobs, or see how it compares to transcription tools, meeting assistants, and research software.

On your machine

Source files and analysis results stay on your computer. Optional AI uses Ollama locally and stays off until you turn it on. Nothing here is a hosted analysis service.

From a file to a useful Overview

  1. Open Import Transcript and upload a JSON file.
  2. Open Run Analysis, keep Balanced, and run it.
  3. Open Overview and note a couple of useful outputs.
  4. If speakers still look like SPEAKER_00, name them next.

Full walkthrough with screenshots · All workflows

Install

Docker is the simplest path. Copy .env.example to .env and set HOST_RECORDINGS_DIR to a folder outside the repository. 

git clone https://github.com/glen-w/TranscriptX.git
cd TranscriptX
cp .env.example .env   # set HOST_RECORDINGS_DIR
docker compose up transcriptx-web

Open http://localhost:8501. The first run builds the image.

Native install and troubleshooting: Installation · Bring transcript files · README