Use Case
You've finished 18 participant interviews for your dissertation, each between 45 and 90 minutes long. That's roughly 20 hours of recorded audio. Transcribing it by hand at the standard 4-to-1 ratio means 80 hours of typing before you can start analysis. Even if you type fast, that's two full work weeks on transcription alone. No coding. No analyzing. No writing. VidNotes turns research video into a searchable, quotable, exportable text archive in a fraction of that time. Transcribe interviews with accurate timestamps, search across multiple transcripts for recurring themes, and export cited passages for your papers. The 80 hours of manual transcription drop to about 2 hours of processing and review, so you can focus on the analysis that actually moves your research forward.
Manual transcription of research interviews takes 4-6 hours per hour of audio
VidNotes transcribes interviews in minutes with Whisper AI, with high accuracy across 30+ languages. A 60-minute interview usually processes in 3-4 minutes. You review and correct the transcript instead of typing it from scratch, turning a six-hour task into roughly 30-45 minutes of editing for research-grade accuracy.
Finding a specific quote or statement across multiple interview recordings is extremely time-consuming
Search across all your transcripts at once for any term or phrase. VidNotes finds every occurrence and links it to the exact timestamp in the original video. When you need every instance where participants mentioned 'informed consent' across 20 interviews, one search gives you all of them with context and source attribution.
Extracting themes and patterns from qualitative data requires repeated listening
Use AI summaries to get a high-level read on each interview before deep coding. Use AI Chat to ask targeted questions like 'What did the participant say about privacy concerns?' and get cited answers with timestamps. You can run an initial thematic scan across all your data in hours instead of days.
Import recorded interviews from your device, iCloud, Google Drive, Dropbox, or online platforms. VidNotes works with any video or audio-containing file format. Batch-import an entire folder of interview recordings and process them sequentially without touching each file.
Get a full timestamped transcript powered by Whisper AI. Review it against the original recording, fixing spots where the AI may have misheard technical terminology, proper nouns, or domain-specific jargon. A 60-minute interview usually needs 20-30 minutes of review to reach publication-ready accuracy, compared to 4-6 hours of typing from scratch.
Generate summaries to evaluate content quickly before deep coding. Use AI Chat to ask targeted questions across the transcript, like 'What concerns did the participant express about the intervention?' Spot themes, contradictions, and patterns faster than manual review. Use search to track specific concepts across your entire corpus of interviews.
Export cited passages with timestamps as TXT or Markdown. Import into your qualitative analysis software (NVivo, ATLAS.ti, Dedoose) or paste directly into your research document with proper attribution. Timestamps serve as verifiable references back to the original recording, supporting transparency and reproducibility in your published findings.
Qualitative researchers face a particular version of the video problem. You need transcripts accurate enough to quote in published work, searchable enough to spot patterns across sources, and organized enough to support systematic analysis. VidNotes covers all three in one tool. Unlike general-purpose transcription services that require uploading sensitive interview data to external servers, VidNotes runs audio through AIProxy's secure pipeline and stores all transcript data locally on your device via SwiftData, which matters for IRB compliance and participant confidentiality.
AI Chat is especially powerful for research. Instead of re-reading entire transcripts to find discussions about a theme, ask questions like 'What were the participant's concerns about data privacy?' and get a synthesized answer with citations to the exact moments those concerns came up. Speeds up thematic analysis, especially in the early stages when you're building your codebook and need to scan 15-20 interviews for the prevalence of a potential theme before committing to a full coding pass.
For researchers working with multilingual sources, VidNotes processes each interview in its original language with automatic detection across 30+ languages and generates summaries in that same language. That preserves the participant's original phrasing and terminology, which matters for accurate qualitative analysis. You can transcribe an interview conducted in Japanese, search it for specific Japanese terms, and generate a Japanese summary with no translation step. For comparative studies across language groups, each transcript faithfully represents the participant's actual words rather than a translated approximation.
The export workflow is built with academic toolchains in mind. TXT and Markdown exports are formatted for direct import into qualitative analysis software like NVivo, ATLAS.ti, and Dedoose. Timestamps in the exported files serve as verifiable citations back to the original recording, supporting the transparency standards expected in peer-reviewed qualitative research. For conference presentations, use the timestamp search to quickly locate and play the exact moment a participant made a key statement, giving you authentic evidence alongside your analysis.
Start with a free account. Paste a video link and see it in action.