For Anyone with a library of recordingsComing soon

Chat with every transcript you've ever recorded

Search across every interview, episode and meeting in plain English. "What did Sarah say about pricing in the March calls?" — answered in seconds with timestamps.

Try it free — 30 min Sign in

No credit card. Pay-as-you-go after the free 30 minutes.

The pitch

Drop interviews, meetings, episodes and lectures into your Transcribr workspace. Then ask questions in plain English: "Find every time I mentioned competitors in Q1 fundraising calls." Answers come back with citation timestamps you can click to jump to the exact moment in the original audio.

What you get

One feature, six ways it pays back.

Natural-language queries across one transcript or your whole library
Citation timestamps on every answer — click to jump to the audio
Speaker-aware ("what did Marina say about onboarding")
Date and project filters — narrow to interviews from last week, etc.
Compounding moat: smarter every time you upload another file

What it replaces

Three tools become one button.

Manual ctrl-F across dozens of transcript files

"I know I said this somewhere…" frustration

Re-listening to hour-long recordings hunting for one quote

In practice

What it looks like for real users.

Journalist working a story

"Find every quote where the source mentioned the 2019 contract." Answer pulls from 12 hours across 4 interviews.

Founder reviewing calls

"What objections did enterprise prospects raise in the last 30 days?" Synthesised across every recorded sales call.

Researcher coding interviews

"List moments where participants described frustration with the existing tool." Citations let you verify each one in context.

FAQ

What people ask before signing up.

How is this different from a regular search?

Regular search is keyword-based — you have to remember the exact phrase. Ask uses semantic search over embeddings, so "who complained about pricing" finds "that quote felt expensive" too.

What does it cost?

Embeddings are generated once per transcript at upload. Each query costs a fraction of a credit (~$0.005). Charge per use, no subscription.

Is my data private?

Embeddings live in your workspace, encrypted at rest. We don't train models on your transcripts. Delete a transcript and its embeddings disappear with it.

Also built for

Whoever has the recording, has the work.

For Podcasters

Show notes in 30 seconds, not 30 minutes

Generate episode summaries, timestamped chapters, social pull-quotes and YouTube chapter markers from any podcast episode in one click.

For Podcasters & content creators

Auto-detect the most clip-worthy moments

AI surfaces 30–60 second highlight moments from every episode, with burnt-in subtitles. Export 9:16 / 1:1 / 16:9 MP4s ready for social.

For Researchers, UX teams, academics

Code interviews in our tool, export to yours

Highlight passages, attach codes from a workspace-level codebook, then export to NVivo, Atlas.ti, Dovetail or MAXQDA in their native formats — speaker labels intact.

Chat with every transcript you've ever recorded

Drop a file. We'll handle the rest.

Try it free See all use cases

No credit card. First 30 minutes free.