Lecture Transcription
Transcribe academic lectures, seminars, and educational content for students and institutions.
Why Use STT.ai for Lecture Transcription
Make education accessible with automatic lecture transcription. Students can search through lecture content, review key concepts, and study more effectively with text-based notes.
Industry-leading accuracy
Choose from 10+ AI models to get the lowest word error rate for your lecture transcription audio. NVIDIA Canary achieves under 6% WER on clean recordings.
Speaker diarization built-in
Automatically identify who said what -- essential for lecture 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 Lecture Transcription
1
Upload your lecture 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 lecture transcription recording
Select your preferred model and language (or let us auto-detect). Enable speaker diarization if your lecture transcription recording has multiple speakers. Processing typically takes seconds to minutes.
3
Export your lecture 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 Lecture Transcription
Every transcript can be exported in the format that fits your lecture 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 Lecture Transcription
Ready to Get Started?
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Get Started FreeFrequently Asked Questions
For Lecture 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 improve student accessibility — and STT.ai's 600 free minutes/month cover most Lecture Transcription jobs without a paid plan.
For Lecture Transcription, STT.ai Enhanced or Whisper Large V3 give the best accuracy on long-form audio, while NVIDIA Canary is faster for short clips. All of them support the Lecture Transcription essentials: Technical vocabulary, Long-form audio support, and Searchable transcripts.
For most Lecture Transcription workflows our best models reach 93-95% accuracy on clean audio. The built-in transcript editor lets you fix the occasional misheard word and rename speakers before you export or publish.
Yes. Speaker diarization automatically labels each voice for Lecture Transcription (Speaker 1, Speaker 2, …) and you can rename them post-transcription. Works on every supported model.
For Lecture Transcription, DOCX and PDF are best for sharing, SRT/VTT when the content needs subtitles, and JSON when you want machine-readable timestamps. The right export is what helps you improve student accessibility, enable content review, and support diverse learners.
Yes. Lecture Transcription audio files are processed and deleted by default. Pro plans add client-side encryption — your Lecture Transcription transcripts are unreadable without your key, even to STT.ai. Private Cloud is available for fully self-hosted Lecture Transcription workflows.
Yes. Live transcription via WebSocket streaming works for Lecture Transcription — useful any time you need captions or notes as people speak rather than after the fact.
For Lecture 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 Lecture Transcription recordings.
Yes. Word-level and sentence-level timestamps are included on every Lecture 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 Lecture Transcription teams use two or three of these.
Yes — GDPR compliance is built into every Lecture Transcription workflow, with data deletion on demand and no training on your content unless you opt in. Pro plans add client-side encryption for an extra layer.
Yes. After transcribing Lecture Transcription audio, the subtitle-translator tool can translate the output into any of 100+ target languages — useful for international audiences or multilingual Lecture Transcription teams.
Free tier covers 600 minutes/month — enough for most Lecture 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.