A single-page tracker of every Hinglish (Hindi + English code-switched) speech-recognition model that outputs pure Roman/Latin script — no Devanagari — with:
- ✅ 3 filters: All / Open Weight / Closed Weight (+ search & category filter)
- 📊 Parameter counts, FP32 sizes, quantization sizes (GGML, CT2, MLX, CoreML, ONNX)
- 🎯 Published Hinglish WERs (FLEURS, Common Voice, IndicVoices, HiACC, MUCS, VISTAAR)
- 🚫 A "checked & excluded" section explaining which popular ASR systems fail the pure-Roman test (Devanagari output, e.g. Saarika, Scribe, Chirp 3, IndicWhisper…)
Live: https://iam-master.github.io/hinglish-asr-models/
Data compiled September 2026 from Hugging Face model cards and vendor documentation (Sarvam, Deepgram). WERs are author-reported on differing benchmarks.
Open index.html in any browser — no build step, no dependencies.
- Oriserve Whisper-Hindi2Hinglish family (Prime / Apex / Swift)
- shunyalabs/zero-stt-hinglish, Trelis/whisper-hinglish-preview, equal-ai/whisper-transliterate
- moorlee/qwen3-asr-0.6b-hinglish (+ variants)
- Sarvam Saaras v3/v4 docs (translit & codemix modes), Deepgram Nova-3 / Flux multilingual docs