.svg)
ChatGPT vs Breyta
Most move to Breyta for a purpose-built tool for qualitative data analysis
- Fast. Deep, comprehensive answers in seconds
- Accurate. Built to minimise errors/hallucination.
- Trustworthy. Always backed by evidence.
- Scalable. Analyse hours of conversations in one go.
Trusted by research, UX and product teams at...
"Really like that it's more scalable than ChatGPT by analyzing a lot of files at the same time. Love that all insights are very accurate and are supported by quotes from the raw transcript automatically"
Comparison guide
Breyta
ChatGPT
Purpose
Built for qualitative research (interviews, tests, notes)
General-purpose chat with file upload and task tracking
File types supported
Audio, video, PDF, Word, TXT (auto transcription for audio/video)
PDF, Word, TXT, CSV (no transcription support)
Transcription accuracy
Built-in, high-quality transcription (better than Copilot, per feedback)
Requires external transcription
Structured workflow
Yes — file-by-file analysis → findings → synthesized answer
No — chat-driven exploration across files
Verbatim finding extraction
Yes — objective observations pulled directly from each file
No — summaries and answers are free-form and generative
Synthesis logic
Synthesizes all findings into one coherent, evidence-backed answer
No built-in synthesis step — requires prompting
Citation traceability
Yes — answers cite findings, which cite verbatim quotes with timestamps
Limited — some quotes referenced but not reliably cited
Audio/video playback integration
Yes — citations link to exact moment in original recording
No — cannot connect output to original audio or video
Scale & performance
Analyzes up to 30+ hours of conversation in one project
Scalable across many files, but lacks structured processing
Search & archive
Central repository with semantic keyword search and AI Q&A
No persistent archive; file context lost after session ends
Hallucination control
High — project questions are strict, grounded in data
Medium — chat may hallucinate depending on prompt
Collaboration
Built for teams — consistent, shareable answers across roles
Individual use — no team visibility or shared workspace
Privacy & compliance
SOC 2 Type II, GDPR, PII redaction, data not used for training
Data may be used to improve OpenAI models unless opted out
Summary
Breyta is designed for rigorous, team-oriented qualitative research: structured findings, timestamped citations, and large-scale analysis of interviews and tests.
ChatGPT Projects are useful for individual exploration, summarisation, and flexible Q&A — but lack structure, traceability, and researcher-grade workflows.
Book a demo
We'll set up a quick demo suited to your schedule and will help you get started.