Common Problems, Solved
Three frustrations Hearlog fixes the day you start using it.
A 60-minute interview takes 4+ hours to transcribe by hand — and you have three more to file.
Upload the file. Get an accurate transcript in minutes with speaker diarization, ready to pull quotes from.
Scrubbing audio for the perfect quote means rewinding the same 30 seconds ten times.
Every transcript is searchable. Cmd+F a keyword, click, and you are at the exact second of the source audio.
Sources go off-record. You cannot risk a cloud tool that trains on your audio or leaks recordings.
Hearlog stores recordings with Encryption at Rest (AES-256). Your audio is never used for training. Delete anytime.
How It Works in 3 Steps
Upload or record
Drop in a .mp3 / .m4a / .wav of your interview, or record straight into Hearlog over the phone or in person.
Get speaker-labeled transcript
Hearlog separates interviewer and source automatically. Edit speaker names, fix any term, and export clean copy.
Pull quotes and ship
Search the full transcript, copy verified quotes with timestamps, or export as PDF / Word for your editor and fact-checker.
Frequently Asked Questions
How accurate is transcription for noisy field interviews?
Hearlog handles cafe noise, phone calls, and accented English well. For studio-quality audio, accuracy is typically 95%+; field recordings degrade gracefully and stay editable.
Can I transcribe interviews in Indian or regional languages?
Yes. Hearlog transcribes 14 Indian languages including Hindi, Tamil, Bengali, Marathi, plus 50+ international languages.
Is the transcript admissible for sourcing and fact-checking?
Hearlog gives you a verbatim transcript with timestamps. Always verify against the original audio for direct quotes — Hearlog stores both side-by-side.
What happens to the audio after I am done?
You can delete the recording and transcript with one click. Everything is encrypted at rest (AES-256) and never used to train AI.