Measured routing
Choose providers using comparable language and audio-profile benchmarks instead of a universal default.
Built for a multilingual world ↗
Your audio deserves more than a default model. We route each file to the right transcription provider for its language and audio profile. Clearer results.
Built for developers, creators, and AI agents
Illustrative routes. Actual decisions depend on benchmark evidence.
Many languages.
One clear connection.
Why QuantClarity
Accuracy changes with language, accent, recording conditions, speaker count, and domain. QuantClarity turns that moving target into one stable integration.
Choose providers using comparable language and audio-profile benchmarks instead of a universal default.
Receive normalized JSON, text, SRT, or VTT with predictable timestamps and speaker information.
Use automatic fallback when a provider is unavailable or a job falls below the requested confidence threshold.
How it works
From raw audio to a transcript you can use, with a routing decision you can inspect.
Detect language and inspect duration, speaker count, noise, and requested output.
Match the job to benchmark results, features, latency, privacy, and cost.
Submit to the selected provider and fall back safely if the job fails.
Return one schema with the provider, benchmark version, and routing reason.
curl https://api.quantclarity.com/v1/audio/transcriptions \
-H "Authorization: Bearer $API_KEY" \
-F "file=@interview.mp3" \
-F "language=ur"
{
"status": "complete",
"provider": "selected-model",
"benchmark_version": "2026.09",
"formats": ["json", "srt"]
}Language coverage
Planned coverage combines every language supported by at least one connected provider. QuantClarity will route with benchmarks where evidence exists and use heuristic or customer-selected routing everywhere else.
Designed for real work
QuantClarity launches with batch transcription so teams can get measurable quality, useful output formats, and predictable workflows before real-time voice routing.
Give ChatGPT, Claude, Gemini, and custom agents a stable transcription tool through MCP and OpenAPI.
Turn authorized YouTube videos, podcasts, and interviews into searchable transcripts and subtitles.
Route multilingual jobs with a clear benchmark basis and export files that fit production workflows.
Process interviews and field recordings with speaker labels, timestamps, and transparent routing records.
Early access
Bring us the audio your current model gets wrong. Be first to explore a better route for your language and workflow.
The first release covers batch transcription with benchmark-based routing and JSON, TXT, SRT, and VTT output.