"All That Insight, Gone After the Event"
Conferences, workshops, and seminars generate enormous amounts of valuable knowledge. But when the event ends, that knowledge scatters — into partial notes, forgotten recordings, and memories that fade within days. Finding a specific insight from a talk you attended three months ago is nearly impossible.
The Problem
Upload recordings from any event. Meeting Bable produces speaker-identified transcripts, translates them into your language, and generates comprehensive AI summaries. Tag related sessions with #topics to build a searchable, cross-referenced knowledge base.
File Upload Processing
Upload MP3, WAV, FLAC, M4A, OGG, or WebM files up to 100MB for batch processing.
Chirp 3 Speaker Identification
Advanced AI identifies up to 10 speakers per recording.
Cross-Session Summaries
Tag related sessions and generate aggregated summaries across an entire conference.
Multilingual Translation
Translate any recording into 19 languages to make content accessible to global teams.
The Event Library That Never Gets Opened
You fly out to a conference, sit through fifteen sessions, scribble notes in three different notebooks, and come home with a head full of ideas. Two weeks later, the only artifact that survives is a LinkedIn post about how insightful the keynote was. When someone on your team asks "what did that speaker say about vector search?" you remember the gist but not the quote. Somewhere in your laptop is a 90-minute MP3 of the talk that you'll almost certainly never listen to again.
Organizations try to solve this with shared drives of recordings, but nobody watches them. They try hiring transcription services, but the per-minute cost adds up fast and the output is a wall of unformatted text with no search across talks. They try knowledge-management platforms that end up as write-only archives. What would actually work is simpler: a searchable, summarized, translated version of every talk you recorded, with a way to group talks by topic so you can find the thread that ran across multiple sessions.
Meeting Bable processes any audio file you upload — up to 100MB, in MP3, WAV, M4A, FLAC, OGG, or WebM — and returns a speaker-identified transcript (up to 10 speakers), an AI summary, and a translated version in any of 19 languages. Tag each recording with hashtag topics (#ai-infra, #product-strategy, #design-systems) and cross-session summaries surface the thread across talks. Six months later, when you need to remember what the Tokyo team lead said about feature flags at the October workshop, a five-second search finds the exact moment.
How It Works
Drag & drop your audio file
MP3, WAV, M4A, FLAC — up to 100 MB
Upload Your Recording
Drag and drop an MP3, WAV, M4A, or other audio file (up to 100MB) into Meeting Bable for batch processing.
Let me walk through the design updates we shipped last week.
Looks great. Did we get feedback from the beta users?
Yes — satisfaction scores are up 18% since the update.
Nice. I think we should prioritize the mobile flow next.
AI Processes and Identifies Speakers
Chirp 3 transcribes the recording and identifies up to 10 different speakers. Edit names to match real presenters.
Build a Searchable Knowledge Base
Tag related sessions with #topics. Generate cross-session summaries to surface insights across an entire conference.
Frequently Asked Questions
- MP3, WAV, M4A, FLAC, OGG, and WebM are supported, up to 100MB per file. Longer recordings (anything above 18 minutes of audio) are chunked automatically in the background using FFmpeg, so a 90-minute workshop processes as one session without manual splitting. If you have a larger file, convert to a lower bitrate (64-96 kbps is fine for speech) to get under the limit.
Who Is This For?
Which Challenge Is Yours?
Try Meeting Bable free and see how it fits your workflow.