Audio ingest and transcript review
Import interview audio into a workspace that keeps sources, transcripts, review panes, and coding progress in view.
Open-source agent-native qualitative research platform
Code interviews faster without losing the evidence trail.
Bring audio, transcripts, coding suggestions, theme work, and cited answers into one review workflow where evidence can be checked before it becomes a claim.
"We changed the intake form after the pilot because participants kept asking where the consent note lived."
"The team trusted the result once they could jump from a theme back to the exact sentence and speaker."
"AI helped us move faster, but we still wanted a clear accept, edit, or reject step for every suggestion."
Suggested code: consent-friction
Grounded to a quoted span. Awaiting reviewer confirmation.
suggestedquote checked
Theme draft: evidence trust
Groups confirmed codes while preserving membership and source timestamps.
confirmed onlyprovenance
Answer mode
Questions resolve against reviewed evidence, with citations back to source material.
cited answer
OpenVerbatim entity
What OpenVerbatim is.
OpenVerbatim is an open-source (Apache-2.0) qualitative data analysis platform for coding and analyzing interview transcripts. AI-suggested codes stay marked as suggestions until a human reviewer confirms or rejects them, and every decision is kept in an audit trail. The full feature set is available when self-hosted; there is no paid feature wall.
Core capabilities
Built for qualitative work that must stay reviewable.
The workflow keeps familiar research steps while making each AI suggestion visible enough to review and correct.
Agent-assisted open coding
Review coding suggestions with quotes, rationale, confidence, and grounding checks before accepting, editing, or rejecting them.
Confirmed evidence for themes and answers
Build themes from reviewed codes and answer dataset questions with citations back to verbatim evidence and source timestamps.
Landing pages
Compare OpenVerbatim with common QDA choices.
nvivo alternative
NVivo alternative
For teams evaluating open-source, BYOK, and agent-native qualitative coding.
atlas ti alternativeATLAS.ti alternative
For researchers comparing mature QDA suites with evidence-first AI review.
dovetail alternativeDovetail alternative
For teams that need source-grounded qualitative coding rather than a broad research repository.
maxqda alternativeMAXQDA alternative
For mixed-methods teams comparing statistical integration with agent-native evidence review.
dedoose alternativeDedoose alternative
For browser-based research teams that want deeper qualitative coding and clearer AI provenance.
ai qualitative data analysisAI qualitative data analysis
For teams that need AI assistance without losing source-grounded control.
open source qualitative research softwareOpen source qualitative research software
For teams that need inspectable deployment, BYOK AI, and traceable research decisions.
workflow comparisonTraditional QDA workflow
For researchers comparing manual-first QDA steps with OpenVerbatim's reviewable audio-to-evidence pipeline.
trust and provenanceTrust & provenance
For researchers, mentors, and reviewers evaluating AI suggestions, audit events, consent withdrawal, and sharing controls.
interview transcript codingHow to code interview transcripts
Practice open coding, codebook building, memo writing, and reviewable AI assistance with sample files.
thematic analysisHow to do thematic analysis
A rigorous guide to manual, software-assisted, and AI-assisted thematic analysis.
coding examplesQualitative coding examples
Open, axial, in vivo, and thematic coding examples with a downloadable practice pack.
free qualitative coding softwareFree tools for students
Compare free tools for student projects and see where reviewable AI assistance fits.
nvivo pricingNVivo pricing explained
Understand student license language, add-on costs, and when open source makes sense.
open source qdaBest open-source QDA software
A transparent comparison of open qualitative analysis tools and adjacent text analysis software.
FAQ
OpenVerbatim questions
What is OpenVerbatim?
It supports transcript coding with reviewable AI suggestions, confirmed evidence states, and an audit trail for research decisions.
Is OpenVerbatim open source?
Yes. The project is open source under Apache-2.0, and the full feature set is available when self-hosted with no paid feature wall.
How does OpenVerbatim use AI for qualitative coding?
AI-suggested codes stay marked as suggestions until a human reviewer confirms or rejects them, and every decision is kept in an audit trail.
Try the evidence loop
Review the workflow before you commit your own data.
OpenVerbatim's public sandbox runs in the browser with generated demo material, so researchers can inspect the review loop without creating an account.