Every language has a best model. Most tools pick one and stick with it.
Werrex routes each file to the lowest-WER model for that language —
automatically, at scale, with full audit trail.
Whisper for everything. Fast, broad, but not the best at any language. Every file gets the same treatment regardless of whether a lower-WER model exists for that language.
SOC2 Type II. ISO 27001. Data residency. Retention policies. Most transcription tools are retrofitted for compliance — built on top of existing architectures, not designed for it.
It routes each file to the model with the lowest measured WER for that language. English to Granite. Hindi to Whisper Turbo. Sanskrit to Whisper — because that's what works. Architecture designed for compliance from scratch.
const routeAudio = async (audio, lang) => {
const model = MODEL_MAP[lang] // pre-benchmarked per language
const chunks = await chunkAudio(audio) // VAD-based segmentation
const results = await transcribeAll(chunks, model)
return assemble(results, { timestamps: true, speaker_id: true })
}No single model leads across all languages. Werrex benchmarks each candidate and routes to the one with the lowest measured WER — per language, per file.
Model selection is dynamic — benchmarks are re-run quarterly as new model versions release.
Client uploads audio file. Server validates format, runs format detection, and assigns a job ID with full audit trail from the first byte.
VAD-based segmentation breaks large files into speech-only chunks, preserving speaker boundaries and word-level timestamps. No dead air, no model waste.
Language detection runs on a sample. Model selector picks the pre-benchmarked best model for that language. Chunk dispatched to GPU queue.
Transcribed chunks merge with preserved timestamps and speaker IDs. Compliance metadata attached. Result returned via secure download link.
Containerized model serving on GPU nodes. Auto-scaling queue handles files from minutes to hours. No cold starts on hot path.
Single-tenant cloud or fully on-prem deployment. Data never leaves the client's infrastructure in on-prem mode. SOC2 scoped to API layer.
Automated WER evaluation on target language datasets runs monthly. Model map updates automatically when a new version beats the baseline.
Signed, time-limited download URLs. Transcript payload encrypted at rest with per-tenant keys. Audit log covers every read/write operation.
While most transcription tools bolt on compliance after the fact, Werrex was designed with it from the first line of code. Every control maps to a defined framework.
Built by engineers who understand that accuracy isn't a feature — it's the product. For enterprises that can't afford a wrong word in a transcript.