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Makimoto
Open-source speech AI to transcribe, summarise and tag calls
Makimoto is an open-source initiative for speech AI: transcribe, summarise and tag calls through a REST API, Python SDK or no-install Playground. Latest Feature: Makimoto Flows, a visual builder you can export as code. 1,000 free transcription minutes.
We’re the team behind Makimoto, and we’re excited to show you what we’ve been building.
We’ve worked closely with contact-centre and engineering teams across Asia-Pacific, and the same problems kept coming up. Quality teams replay calls one by one to find out what happened. Transcripts fall apart when a caller switches language mid-sentence. And when an AI pipeline gets something wrong, nobody can tell which step failed.
Most speech AI arrives as a single box. Audio goes in, an answer comes out, and every decision in between belongs to someone else. We built Makimoto so nothing in the pipeline is hidden. 🔍
It turns calls into data you can build on, with speaker-separated transcripts, summaries and tags. There are three ways in:
🔌 REST API and Python SDK for building it into your own product 🧪 Playground for trying it with nothing to install 🧩 Makimoto Flows for designing your own pipeline block by block, then exporting it as code
Makimoto is an open-source initiative. We use and adapt open models rather than training our own, and put our effort into the software around them. Kawa, our orchestration layer, is MIT-licensed on GitHub alongside our Python SDK: github.com/makimoto-ai/kawa
🌏 The pipeline is built for how people in Asia-Pacific speak, with regional accents, multilingual calls and code-switching. Audio and transcripts are stored and processed in Singapore.
🎁 Every account comes with 1,000 free transcription minutes, more than 16 hours of audio. That’s plenty to try it on your own calls.
If you work with multilingual or code-switched calls, we’d especially like to hear from you. What kind of calls would you run through it first? 💬
About Makimoto on Product Hunt
“Open-source speech AI to transcribe, summarise and tag calls”
Makimoto was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #152 on the daily leaderboard. Makimoto is an open-source initiative for speech AI: transcribe, summarise and tag calls through a REST API, Python SDK or no-install Playground. Latest Feature: Makimoto Flows, a visual builder you can export as code. 1,000 free transcription minutes.
On the analytics side, Makimoto competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Makimoto performed against the three products that launched closest to it on the same day.
Who hunted Makimoto?
Makimoto was hunted by Nashlie Yao. 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 Makimoto including community comment highlights and product details, visit the product overview.
Nashlie Yao
Hi Product Hunt! 👋
We’re the team behind Makimoto, and we’re excited to show you what we’ve been building.
We’ve worked closely with contact-centre and engineering teams across Asia-Pacific, and the same problems kept coming up. Quality teams replay calls one by one to find out what happened. Transcripts fall apart when a caller switches language mid-sentence. And when an AI pipeline gets something wrong, nobody can tell which step failed.
Most speech AI arrives as a single box. Audio goes in, an answer comes out, and every decision in between belongs to someone else. We built Makimoto so nothing in the pipeline is hidden. 🔍
It turns calls into data you can build on, with speaker-separated transcripts, summaries and tags. There are three ways in:
🔌 REST API and Python SDK for building it into your own product
🧪 Playground for trying it with nothing to install
🧩 Makimoto Flows for designing your own pipeline block by block, then exporting it as code
Makimoto is an open-source initiative. We use and adapt open models rather than training our own, and put our effort into the software around them. Kawa, our orchestration layer, is MIT-licensed on GitHub alongside our Python SDK: github.com/makimoto-ai/kawa
🌏 The pipeline is built for how people in Asia-Pacific speak, with regional accents, multilingual calls and code-switching. Audio and transcripts are stored and processed in Singapore.
🎁 Every account comes with 1,000 free transcription minutes, more than 16 hours of audio. That’s plenty to try it on your own calls.
If you work with multilingual or code-switched calls, we’d especially like to hear from you. What kind of calls would you run through it first? 💬