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The direct (non-batched) transcription path handed the original upload path straight to the C library via parakeet_capi_transcribe_path_json. That loader only understands 16 kHz mono WAV/PCM, so any other format (MP3, etc.) failed with "parakeet: failed to load audio: <file>". Only the batched path converted the input (via decodeWavMono16k -> utils.AudioToWav). Every other audio backend (whisper, crispasr) converts unconditionally with utils.AudioToWav before handing the file to its engine; the parakeet-cpp fallback was the lone exception. Extract a convertToWavMono16k helper (reused by decodeWavMono16k) that produces a 16 kHz mono WAV in a temp dir, and run the non-batched path through it before calling the C loader. WAV inputs already in the target format are passed through without ffmpeg. Add specs covering the helper (decodable copy + cleanup, and an error on a missing input) that need neither the model, the C library, nor ffmpeg. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>