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Jompter turns your voice, screenshots, and screen recordings into one clean, AI-ready Markdown prompt for Claude Code, Cursor, and ChatGPT. Local Whisper + open models run on your Mac — offline, private, no per-token billing.
As you know, I'm a developer, and I wanted an app that makes it easier to prompt AI coding agents like Claude Code, Cursor, Cortex, Kimi K3, and similar tools.
The biggest problem I found was that the built-in voice input wasn't accurate enough, and none of these tools had proper screenshot or visual context management.
So I built an app that lets you record a voice prompt while capturing your screen. You can drag and drop screenshots, annotate them, and explain exactly what you want. This makes prompting AI agents much faster and more accurate.
Another important feature is full local AI support. I don't want my voice recordings or sensitive project information being sent to external servers. Unlike many existing solutions, everything runs locally on your computer, giving you better privacy and lower latency.
I also added real-time streaming transcription, so you can see your prompt being transcribed live as you speak.
One of my favorite features is Explain Mode. You simply hover over any text generated by an AI agent and click Explain. The AI then breaks it down into simple, easy-to-understand language. This is incredibly useful because AI-generated plans can sometimes be difficult to understand, and Explain Mode makes them much clearer.
Since everything runs locally, the app is fast, private, and seamless to use.
This is honestly the best developer tool I've built so far, and I have many more features planned that will make AI-assisted development even better.
If this sounds interesting, let me know—I'd love to hear your thoughts.
offline-first approach is genuinely cool, especially the local whisper part. one thing though, would love to see a way to batch process multiple recordings or screenshots at once into a single markdown prompt. right now it seems like you have to do them one by one which would get tedious pretty fast. basically a queue or folder drop feature would make this way more useful for longer workflows
Finally something that handles the messy voice-to-prompt workflow without sending audio off to some random server. Ran a quick screen recording through it on my Mac and the markdown came out clean enough to paste straight into Cursor.
The whisper transcription running locally on my MacBook was surprisingly fast and the markdown output dropped straight into Cursor without any cleanup. Wish I'd had this a month ago when I was juggling three screen recordings for a debugging session.
Finally something that makes my messy voice notes actually useful with Claude Code. The offline Whisper piece is a nice touch, ran it on a long screen recording and it came out clean.
About Jompter on Product Hunt
“Dictation App Design For Agentic Developers”
Jompter was submitted on Product Hunt and earned 6 upvotes and 5 comments, placing #130 on the daily leaderboard. Jompter turns your voice, screenshots, and screen recordings into one clean, AI-ready Markdown prompt for Claude Code, Cursor, and ChatGPT. Local Whisper + open models run on your Mac — offline, private, no per-token billing.
Jompter was featured in Productivity (656.6k followers) and Developer Tools (516.2k followers) on Product Hunt. Together, these topics include over 224.2k products, making this a competitive space to launch in.
Who hunted Jompter?
Jompter was hunted by Anshu Raj. 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.
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Anshu Raj
As you know, I'm a developer, and I wanted an app that makes it easier to prompt AI coding agents like Claude Code, Cursor, Cortex, Kimi K3, and similar tools.
The biggest problem I found was that the built-in voice input wasn't accurate enough, and none of these tools had proper screenshot or visual context management.
So I built an app that lets you record a voice prompt while capturing your screen. You can drag and drop screenshots, annotate them, and explain exactly what you want. This makes prompting AI agents much faster and more accurate.
Another important feature is full local AI support. I don't want my voice recordings or sensitive project information being sent to external servers. Unlike many existing solutions, everything runs locally on your computer, giving you better privacy and lower latency.
I also added real-time streaming transcription, so you can see your prompt being transcribed live as you speak.
One of my favorite features is Explain Mode. You simply hover over any text generated by an AI agent and click Explain. The AI then breaks it down into simple, easy-to-understand language. This is incredibly useful because AI-generated plans can sometimes be difficult to understand, and Explain Mode makes them much clearer.
Since everything runs locally, the app is fast, private, and seamless to use.
This is honestly the best developer tool I've built so far, and I have many more features planned that will make AI-assisted development even better.
If this sounds interesting, let me know—I'd love to hear your thoughts.