Transcribe interviews and conversations into timestamped text. Clean the audio, follow two speakers, pull quotes, and export TXT, DOCX, SRT, and agent JSON.
The same reliable Vocce pipeline, focused on this job. Start free, then plans from $9.90/mo when you need more.
An interview transcript is where the real work happens — the quote you need is buried somewhere in 90 minutes of audio, and hunting for it by ear is how an afternoon disappears. Getting the whole thing to text, timestamped, means you search instead of scrub.
Interviews are rarely recorded in a studio: a phone on a café table, a Zoom call with lag, two people talking over each other. Vocce cleans the audio first — levels the volume, cuts the noise — then transcribes with word-level timestamps, so every line points back to the moment it was said.
You get a clean transcript (TXT/DOCX) for quoting and citing, SRT/VTT if it was filmed, and a JSON version for research tools. The first three minutes are free, and a job that fails is never billed.
Overlap and back-and-forth are handled, and every line is timestamped so following who answered what stays easy.
Word-level timestamps tie each quote to its exact second — no misattributing a line months later.
Café noise, phone mics, and uneven levels are smoothed out first, which is where interview accuracy is won.
A two-hour conversation is chunked and stitched back with one continuous, drift-free timeline.
Recordings are processed for your job and never used to train anything.
TXT, DOCX, and a JSON schema drop into research workflows, RAG indexes, or your own analysis.
Turn recorded interviews into quotable, timestamped text — find the line and cite the moment without re-listening.
Transcribe research calls into searchable text you can tag, theme, and quote in the write-up.
Make candidate and study interviews comparable: clean transcripts side by side instead of memory.
Upload the recording above — phone audio, a Zoom export, or a field recorder file. Vocce cleans it, transcribes with timestamps, and returns text plus quote-ready exports. The first three minutes are free.
Speaker separation is rolling out for multi-person recordings. Today every line is timestamped, so following a two-person interview is straightforward, and you can mark speakers in the export.
Yes — noise reduction and loudness leveling run before transcription, which is exactly where interview audio usually needs the help.
Multi-hour interviews are fine — they're chunked, transcribed in parallel, and stitched back with one continuous timeline.
Yes — your recording is processed for the job and not used to train anything, and the working copies age out afterwards.
A timestamped transcript as TXT and DOCX, SRT/VTT if the interview was filmed, and agent JSON for research tools and pipelines.