Use case · Field work
Field interviews, captured anywhere — signal or not
The best interviews happen where there's no network — a village, a factory floor, a protest. Lynkk records them fully offline, then transcribes with speaker labels the moment you're back in range, so your fieldwork turns into searchable, attributed notes instead of a backlog of audio files.
Zero-signal capture
Recording starts in under half a second and runs in the background, offline, with the screen off — built for places where connectivity isn't a given.
Process on reconnect
Recordings save as drafts and ride an upload queue that auto-processes the instant you reconnect. Nothing is lost in transit.
Multilingual by default
Hinglish plus Tamil, Telugu, Marathi, Bengali, Kannada and 10+ languages — interview people in their own language and get accurate transcripts.
From a week of audio to a searchable archive
Every interview is tagged, speaker-labeled, and linked into a knowledge graph. Chat across an entire field study to find the quote or the pattern without re-listening to hours of tape.
Attribution you can publish
Speaker diarization and ~97% accuracy mean quotes are correctly attributed and verbatim — the difference between usable fieldwork and a rough memory.
Privacy for sensitive sources
Notes are private by default and encrypted at rest. You control retention and can wipe audio after upload. Always secure informed consent from your subjects per your ethics guidelines.
Frequently asked questions
- What happens to a recording with no connectivity?
- It's saved as a draft on-device and queued. As soon as you reconnect, the upload queue processes it automatically — transcription, summary, and tagging all happen then.
- How long can a single recording be?
- Long-form interviews are supported; recording runs in the background so a multi-hour session captures reliably. Processing time scales with length once uploaded.