Turn recorded meetings, interviews, and calls into structured transcripts — speakers identified, timestamps preserved, context intact. Upload once, then ask ChatGPT, Claude, or any AI tool real questions about real conversations.
Let's lock the launch date for the 14th and move QA up a week.
Works for me. I'll own the migration runbook and share it Friday.
Perfect — flagging that as an action item.
Meetings, calls, and interviews get recorded every week — then forgotten in a folder nobody opens.
Most tools hand you a wall of text. No speakers, no structure, no context. Useless for AI analysis.
You re-listen, copy-paste, and reformat before you can even ask an AI a question about it.
Three steps from raw audio to AI-ready insight. No setup, no plugins, no re-listening.
Upload a meeting, interview, podcast, or call. MP3, M4A, WAV, and a dozen more formats — up to 5 GB.
Speaker diarization identifies who said what. Timestamps mark when. The output is clean and token-efficient.
Export as Markdown, JSON, SRT, or text. Paste into ChatGPT, Claude, or your own tools and ask real questions.
Not just words on a page — structure an AI can actually reason about.
Every line is attributed to the person who said it — automatically.
Jump back to the exact second a decision was made.
Transcribe and translate across languages without changing tools.
Your transcripts are encrypted with a key only you hold.
Find any phrase across every conversation you've ever recorded.
Token-efficient formats designed to be pasted straight into an LLM.
If you record conversations and use AI tools, this is the missing piece in your workflow.
Turn investor calls, customer interviews, and team meetings into structured data you can query with AI. Never lose a decision or action item again.
Record client sessions and extract key themes, recommendations, and follow-ups. Deliver more value with less note-taking.
Transcribe interviews with speaker labels and timestamps. Search across conversations. Let AI surface patterns you'd have missed.
Analyze discovery calls and support conversations at scale. Know exactly what customers are saying — without re-listening.
We're building AI tools directly into Transcribe so the insight is one click away — not another copy-paste.
The team locked the launch for the 14th, pulled QA forward a week, and agreed Daniel owns the migration runbook.
Simple, transparent plans for any conversation volume.
Perfect for trying out Transcribe
No credit card required
For people who record every week
≈ $0.04 per minute
For organizations at scale
≈ $0.025 per minute