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mp3cut.net
Audio Trimmer
Clideo
Kapwing
VEED
Audacity
Audio Cutter AI
Cut multiple audio segments in one pass in your browser or on your iPhone. Split rehearsals, lectures, AI voiceovers, lessons, and long recordings privately in your browser, with optional local Whisper word detection on supported devices.

Website, pricing, platforms and company facts side by side.
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| Website | codegres.org | audiomulticut.com |
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| Listed in |
In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
AudioMultiCut turns one long recording into the short files you actually need. Mark as many segments as you want on the waveform, or let auto-cut split by silence or into equal parts, then export them all together as MP3 or WAV. Built for long, messy recordings - Band rehearsals and live sets...
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As answered by people managing Codegres.org and AudioMultiCut.
AudioMultiCut's answer:
Most online audio cutters make one cut at a time. AudioMultiCut is built for the opposite job: take one long recording and pull many clips out of it in a single pass. You mark as many segments as you want (or let auto-cut find them by silence), preview - automatically - every boundary instantly, and export them all at once. The audio is processed locally in the browser, so nothing is uploaded.
AudioMultiCut's answer:
AudioMultiCut's answer:
People with long recordings who need short files: musicians splitting rehearsals and live sets into songs, teachers and students cutting lectures into topics, podcasters and interviewers pulling clips and quotes, voice-over and audiobook editors splitting takes and chapters, and AI music users preparing samples for tools like Suno. Also anyone who needs to send a long voice memo in parts on WhatsApp, Telegram or Discord.
AudioMultiCut's answer:
It started with a band. Rehearsals were recorded as one long file on a phone, and splitting that file into separate songs meant moving it to a computer and opening a full audio editor. AudioMultiCut was built to do that on the phone in a minute: mark the songs, export them, share them with the band. Other musicians asked for it, so it went public, and it grew into a tool for lectures, podcasts, meetings and voice memos too.
AudioMultiCut's answer:
Next.js and React for the web app, the Web Audio API for in-browser playback and editing, ffmpeg.wasm and LAME for local encoding to MP3 and WAV, and Transformers.js running Whisper on the device for optional word detection. Native iPhone and Android apps share the same workflow.
AudioMultiCut's answer:
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