Used by qualitative research teams (including Priya Lobo Consults and Ormax Media) to compress the cycle from fieldwork to insight from weeks to days.
End-to-end pipeline
From raw conversation to structured insight
Six stages, every one of them auditable: data capture, speech processing, contextual analysis, insight generation, quality assurance, and translation / transliteration.
- Data capture — record multilingual conversations (in-person, virtual, hybrid).
- Speech processing — speaker-diarised, noise-robust transcription.
- Contextual analysis — NLP-driven themes, sentiments, and quoted context.
- Insight generation — structured patterns ready for the deck.
- Quality assurance — human-in-the-loop verification on every output.
- Translation & transliteration — local terminology preserved across markets.
Why teams switch
Manual transcription is the bottleneck — not the analysis
Traditional transcription and translation eat 60–70 % of the timeline. VoiceDocAI moves those steps to AI with reviewer oversight, freeing the team to focus on interpretation and storytelling.
- >99 % thematic accuracy on real fieldwork (validated on Priya Lobo Consults data).
- Mixed-language conversations handled natively — no per-segment switching.
- Speaker-attributed quotes flow straight into report templates.
- Cuts insight turnaround time and frees analysts for higher-value work.
