TranscriptX
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TranscriptX
TranscriptX

Start here

  • How TranscriptX compares
  • First analysis: from transcript to useful results
  • Using TranscriptX
  • Installation
  • Transcription (bring your own files)
  • TranscriptX product definition

Workflows

  • Identify and name speakers
  • Investigate a question and trace it back to evidence
  • Use local AI for synthesis
  • Export a finished analysis
  • Explore Charts for a finished run
  • Bundle transcripts into a group
  • Correct wording while reading
  • Rename a managed transcript
  • Browse longitudinal speaker profiles
  • Assist naming across transcripts with voice

Using TranscriptX

  • Settings, profiles, and analysis knobs
  • Docker
  • Directory watcher
  • Auto-identify speakers
  • Exporting runs (ZIP, HTML, EPUB)
  • Workspace backup and restore
  • Known limitations (1.0 programme)
  • Analysis models
  • Local LLM integration (Ollama)
  • Corrections in the Transcript viewer
  • Karaoke playback (Transcript viewer)
  • Corrections Studio LLM discovery
  • TranscriptX terminology index (non-authoritative)
  • WhisperX standalone (optional reference recipe)
  • Whisper-WebUI (optional interoperability recipe)

Advanced

  • Installation details
  • Host STT automation
  • Audio prep (before transcription)
  • How TranscriptX compares — reference
  • User documentation sitemap

Developers

  • Developer documentation index
  • TranscriptX Roadmap
  • TranscriptX Architecture
  • Developer Quick Start — TranscriptX
  • Packages used
  • Code and architecture reviews
    • TranscriptX architecture review (evidence, not docs)
    • Host-side Windows / Linux compatibility (2026-09-03)
    • TranscriptX SLOC estimate (2026-09-02)
  • Contract boundary map
  • Public surfaces contract
  • TranscriptX Storage Policy
  • Module Catalog
  • Web launcher and Python API
  • Lexical diversity analysis
  • Keyphrases (keyphrases)
  • Epistemic markers (epistemic_markers)
  • Politeness markers (politeness)
  • Topic-shift (topic_shift) contracts — Wave 1
  • ASR confidence (transcript_quality)
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