Research Transcription
Transcribe research interviews, focus groups, and field recordings for qualitative analysis.
Why Use STT.ai for Research Transcription
Accelerate your qualitative research with AI transcription. Upload interviews, focus groups, and field recordings. Get speaker-labeled transcripts ready for coding and analysis in your preferred qualitative research tool.
Industry-leading accuracy
Choose from 10+ AI models to get the lowest word error rate for your research transcription audio. NVIDIA Canary achieves under 6% WER on clean recordings.
Speaker diarization built-in
Automatically identify who said what -- essential for research transcription recordings with multiple speakers. No extra setup needed.
Every export format you need
Download transcripts as TXT, SRT, VTT, DOCX, JSON, or PDF. Generate subtitles, meeting notes, or structured data from a single upload.
Free to start, scales with you
600 free minutes per month with no signup. When you need more, paid plans start at $8.33/mo with API access for automation.
How It Works for Research Transcription
1
Upload your research transcription audio
Drag and drop your recording in MP3, WAV, MP4, or 20+ other formats. You can also record live from your microphone or paste a URL from YouTube, Vimeo, or 1,300+ platforms.
2
AI transcribes your research transcription recording
Select your preferred model and language (or let us auto-detect). Enable speaker diarization if your research transcription recording has multiple speakers. Processing typically takes seconds to minutes.
3
Export your research transcription transcript
Download in your preferred format -- TXT for notes, SRT/VTT for subtitles, DOCX for documents, JSON for integrations. Share via link or use our API for automated workflows.
Export Formats for Research Transcription
Every transcript can be exported in the format that fits your research transcription workflow:
TXT
Clean plain text -- ideal for notes, searchable archives, and copy-paste
SRT / VTT
Timed subtitles for video platforms, social media, and accessibility
DOCX
Formatted Word document with speaker labels and timestamps
JSON
Structured data with word-level timestamps for developers and integrations
PDF
Print-ready document for sharing, filing, and formal records
Key Features for Research Transcription
Interview Transcription
Accurate transcription of research interviews with speaker labels
Focus Group Support
Handle multi-speaker focus group recordings
Field Recording Processing
Transcribe recordings from any environment
Research-Ready Export
Export in formats compatible with NVivo, ATLAS.ti, and other QDA tools
Ready to Get Started?
Try STT.ai free and see how AI transcription can help your workflow.
Get Started FreeFrequently Asked Questions
For Research Transcription, upload an audio or video file (or record live) and pick the model that best matches your accuracy and speed needs. The workflow is tuned to save hundreds of hours — and STT.ai's 600 free minutes/month cover most Research Transcription jobs without a paid plan.
For Research Transcription, accuracy on domain terminology matters most, so STT.ai Enhanced or Whisper Large V3 are the right call — they back the features this workflow leans on: Interview Transcription, Focus Group Support, and Field Recording Processing. Run a sample through the compare-stt tool before you commit.
Our best models reach 93-95% accuracy on clean audio, but for Research Transcription — where a single wrong word carries weight — the built-in editor lets you review, correct, and certify before exporting. Pair it with verbatim mode for an auditable record.
Yes. Speaker diarization automatically labels each voice for Research Transcription (Speaker 1, Speaker 2, …) and you can rename them post-transcription. Works on every supported model.
For Research Transcription, DOCX and PDF are the usual exports for filing and sharing with stakeholders, with JSON keeping timestamps and speaker labels machine-readable for case/record tooling. These formats are what let teams save hundreds of hours, consistent transcription quality, and faster time to insights.
Yes. Research Transcription audio is processed and deleted by default, and Pro plans add client-side encryption so your transcripts are unreadable without your key — even to STT.ai. For workflows that can't let audio touch third-party servers at all, Private Cloud / self-hosting keeps everything on your own infrastructure.
Yes. Live transcription via WebSocket streaming works for Research Transcription — useful any time you need captions or notes as people speak rather than after the fact.
For Research Transcription, free users can transcribe files up to 1 hour each; paid plans extend that to 8+ hours per file, which covers most long-form Research Transcription recordings.
Yes. Word-level and sentence-level timestamps are included on every Research Transcription transcript and visible in the editor — useful for jumping to a moment, citing audio, or aligning subtitles.
Yes. STT.ai integrates with Slack, Zapier, WordPress, Chrome, MCP (for Claude / Cursor), and any custom workflow via our REST API. Most Research Transcription teams use two or three of these.
GDPR compliance is built in. For Research Transcription, client-side encryption on Pro plans covers most confidentiality requirements, and full HIPAA / BAA coverage is available through Private Cloud self-hosting — the recommended path when a signed BAA or air-gapped processing is mandatory.
Yes. After transcribing Research Transcription audio, the subtitle-translator tool can translate the output into any of 100+ target languages — useful for international audiences or multilingual Research Transcription teams.
Free tier covers 600 minutes/month — enough for most Research Transcription workloads. Paid plans start at $5/month and unlock longer files, private transcripts, and priority queueing. API pricing is per-second with no overage fees.