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Maybloc
new SOTA for speech-to-text for multi-speaker audio
Speech-to-text built for conversations with more than one voice with highest accuracy than any in the industry. Lowest diarization error on several benchmarks. 45 languages, up to 25 speakers. Add-ons: subtitles, PII redaction, summaries, speaker names, translation. Better than Pyannote, Deepgram and Assembly AI
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About Maybloc on Product Hunt
“new SOTA for speech-to-text for multi-speaker audio”
Maybloc launched on Product Hunt on October 16th, 2026 and earned 56 upvotes and 3 comments, placing #34 on the daily leaderboard. Speech-to-text built for conversations with more than one voice with highest accuracy than any in the industry. Lowest diarization error on several benchmarks. 45 languages, up to 25 speakers. Add-ons: subtitles, PII redaction, summaries, speaker names, translation. Better than Pyannote, Deepgram and Assembly AI
On the analytics side, Maybloc competes within Languages, SaaS, Meetings and Audio — topics that collectively have 68k followers on Product Hunt. The dashboard above tracks how Maybloc performed against the three products that launched closest to it on the same day.
Who hunted Maybloc?
Maybloc was hunted by Aayush R. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Maybloc including community comment highlights and product details, visit the product overview.
Hey folks, we're the team behind Maybloc.
Most transcription tools handle one voice well and fall apart when people talk over each other. We built Maybloc for that case: every speaker kept apart, overlapping speech kept instead of dropped, every word timed.
Under it is Calico, our speech model. On the public multi-speaker benchmarks we ran (NOTSOFAR, AMI, DiPCo) it has the lowest diarization (who-said-what) error of pyannote, AssemblyAI and Deepgram, and over 40% fewer errors than AssemblyAI and pyannote on NOTSOFAR's real office meetings. Tables and method: maybloc.com/#benchmarks
It supports 45 languages, up to 25 speakers, files up to 3 hours, $0.006 per minute billed by the second. Add-ons: subtitles, PII redaction, summaries, speaker names, translation.
Try it on your messiest recording and tell us where it breaks. Happy testing!