Audioflare

Audioflare solves a tiny but specific problem: quickly demo Cloudflare Workers AI on audio without writing a line of code. We'd reach for this when we want to confirm that an audio file format works with Cloudflare's AI models, or to show a colleague how fast edge inference can be. The drag-and-drop upload and sample files make it dead simple. Where it bites: the 30-second limit is a hard wall. You can't transcribe a podcast episode, a lecture, or even a full song. There's also no API — you can't integrate Audioflare into your own app. It's purely a web playground. Comparison to alternatives: Otter.ai offers unlimited duration and speaker diarization, but costs money and isn't open-source. Deepgram has a generous free tier and an API. Audioflare is strictly for exploration. In practice, we'd use Audioflare as a stepping stone: test a file, then move to a Cloudflare Worker script that uses the same AI models without the 30-second constraint. The open-source code is its real value — you can fork it, extend the duration, add features. Bottom line: if you're a developer curious about Cloudflare AI for audio, this is the fastest way to get your hands dirty. Everyone else should look elsewhere.