TranscriptX

TranscriptX is an exploratory analysis toolkit for working with conversations when you don’t yet know what will matter.

Sometimes that means fast, visual sense-making — running a meeting, interview, workshop, or chat through a range of analytical lenses to surface patterns, dynamics, and signals.
Other times it means slower, longitudinal work: following speakers, language, tone, or themes across many transcripts over time, and returning to old material as your questions evolve.

TranscriptX is designed to support both modes.

At its core, TranscriptX treats transcripts as canonical data. Analyses run through a reproducible pipeline, outputs are traceable, and results can be revisited or recombined later. The infrastructure exists so you can experiment freely — not to lock you into a single theory of language, conversation, or meaning.

The goal isn’t to automate interpretation.
It’s to create a reliable space in which interpretation can develop — quickly when you need a snapshot, and slowly when you want to understand change.

What kind of questions is TranscriptX for?

TranscriptX is useful when you find yourself asking things like:

• What actually happened in this conversation?
• Where did tension rise or stall?
• Who speaks, who responds, and who shapes the flow?
• What themes keep returning — or quietly disappear?
• How does tone shift over time, or across sessions?
• What changes when the same people meet again and again?

It’s designed for researchers, facilitators, analysts, organisers, and anyone working seriously with spoken language — especially when intuition alone isn’t enough, but full automation would be misleading.

Core analysis capabilities

TranscriptX brings together a wide range of analytical modules that can be combined, rerun, or selectively applied depending on your needs.

🧠 Language & meaning

• Sentiment analysis and sentiment change over time
• Emotion detection, including emotional flow across a conversation
• Topic modeling to surface recurring themes
• Semantic similarity & repetition, from simple echoes to deeper paraphrase
• Named entity recognition, including people, organisations, and places
• Entity framing, linking entities to sentiment and context

🗣️ Speakers & interaction

• Multi-speaker analysis with diarized transcripts
• Speaker profiling and cross-session tracking
• Turn-taking and interaction networks
• Interruptions, overlaps, and response patterns
• Dialogue acts (questions, agreements, disagreements, etc.)
• Conversational loops and circular discussions

🎭 Dynamics over time

• Emotional dynamics and emotional contagion
• Momentum and stall detection
• Pauses, silences, and timing patterns
• Moments worth revisiting — ranked segments across analyses
• Temporal dynamics, showing how metrics evolve across a conversation

📝 Language quality

• Understandability and readability metrics
• Verbal tics and filler detection
• Simplified transcripts for summaries or text-to-speech

🌍 Spatial & contextual signals

• Geographic entity extraction and mapping
• Cross-conversation comparison and grouping
• Longitudinal analysis across transcript sets

How TranscriptX works (conceptually)

TranscriptX is modular and deliberately open-ended.

• You can run many analyses at once for a broad overview
• Or apply a small number of lenses very precisely
• You can revisit old transcripts with new questions
• You can compare across sessions, speakers, or time periods

Nothing is overwritten. Outputs are indexed and traceable.
You can explore without losing provenance or reproducibility.

The system doesn’t assume a single “correct” reading of a conversation — it’s designed to support interpretive work, not replace it.

Outputs you actually use

TranscriptX produces outputs meant to be read, browsed, and thought with:

• Clear visualisations (timelines, charts, networks, word clouds)
• Human-readable summaries and highlights
• Structured data (JSON, CSV) for deeper analysis or reuse
• Speaker-level and conversation-level views
• Group-level analysis across multiple transcripts

A web interface makes it easy to explore results interactively, while a CLI supports scripted and repeatable workflows.

Why TranscriptX exists

Many tools treat transcripts as disposable intermediates — something to summarise once and move on from.

TranscriptX takes the opposite view.

Conversations are often where:

• decisions emerge,
• tensions surface,
• power is exercised,
• meaning is negotiated,
• and change becomes visible.

TranscriptX exists to make those dynamics legible, without pretending they’re simple.

Status

TranscriptX is an active, evolving project.
It’s already used for research, facilitation, and long-form analysis, and continues to grow as new analytical questions emerge.

If you’re curious, want to collaborate, or have a use case in mind, feel free to get in touch.