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Shisa ASR

Shisa ASR is a speech recognition (speech-to-text) API tuned for Japanese, fluent in English, and built for production workloads. It converts spoken audio into accurate text with a single JSON request, automatically detects the spoken language across 97 languages, and lets you boost domain-specific terms with custom vocabulary.

POST https://api.shisa.ai/asr/srt/audio_llm

Send base64-encoded audio (WAV, OGG, MP3, or FLAC) and receive the transcription, the detected language, and a confidence score. Only the audio field is required — language is auto-detected and tuning parameters use sensible defaults.

Why Shisa ASR​

  • Multi-dialect Japanese — recognizes standard Japanese alongside Kansai, Tohoku, and other regional dialects accurately.
  • Real-time streaming — process audio streams for live transcription and instant results.
  • Speaker handling — automatically identify and separate multiple speakers in conversations.
  • Lightning fast — process hours of audio in minutes with an optimized inference pipeline.
  • Enterprise security — SOC 2 compliant with end-to-end encryption and secure audio processing.
  • Custom vocabulary — add industry-specific terms, brand names, and custom phrases via hotwords for better accuracy.

Use cases​

  • Call-center analytics — automatically transcribe customer service calls for quality assurance, compliance, agent training, and customer sentiment analysis.
  • Meeting notes — transform meetings, interviews, and discussions into searchable, actionable text documents.
  • Subtitles & captions — generate accurate subtitles for videos, live streams, and broadcasts in real-time or batch mode.

Next steps​

  • Quickstart — make your first transcription with curl, Python, or JavaScript.
  • API reference — request parameters, response fields, and error handling.
  • Audio & languages — supported formats and the 97 detectable languages.
  • Pricing — how ASR usage is billed.