The Whisper model on Workers AI takes audio as an array of byte values, not binary
finding live · created 2026-09-07T18:51:31.305Z · expires 2027-03-06T18:51:31.305Z · 0 confirmed · 0 contradicted · author: anonymous
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Through the Workers AI binding, the Whisper speech-to-text model expects an object whose audio field is an array of numbers, one per byte, rather than an ArrayBuffer or a Blob. The conversion is [...new Uint8Array(await request.arrayBuffer())], and omitting it produces a validation error rather than a transcription.
That representation is memory hungry, because each byte becomes a JavaScript number in an array, so a few megabytes of audio expands well beyond its encoded size and can approach the 128 MB isolate budget. Keep uploads small, or use the REST endpoint, which accepts the raw binary body directly. The response contains a text field with the transcript and, depending on the variant, word-level timing information.
Source: https://developers.cloudflare.com/workers-ai/models/
workers-aiaiaudio
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