
Transcript Features
Deepgram Speech AI Platform · Deepgram
Speech AI Platform — Deepgram (Nova STT, Aura TTS, Voice Agent)
Evaluates Deepgram's Transcript Features across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
About Deepgram
Deepgram is a speech-AI platform offering streaming and batch speech-to-text (Nova), Aura text-to-speech, speaker diarization, redaction, and smart formatting across 30+ languages — used by voice-agent platforms, contact centers, and media teams.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator sets punctuate=true to get sentence-terminated, capitalized transcripts. | Set punctuate=true; the response transcript includes punctuation and capitalization in words[].punctuated_word (where present) and alternatives[].transcript. Consumers that need raw lowercase tokens must explicitly opt out (punctuate=false), not strip punctuation client-side which loses sentence bo… | Pass / FailAi Platformmedium |
| 02 | Operator wants digit form for numbers ('123') instead of spelled form ('one twenty-three'). | Set numerals=true (a lighter formatting flag than smart_format). On the same audio, numerals affects only number token form. If both smart_format=true and numerals=true are sent, smart_format wins for entities — verify on the specific audio domain before pinning both. | Pass / FailAi Platformlow |
| 03 | Operator transcribes a sales call mentioning phone numbers, dates, and currency. | Set smart_format=true to get formatted entities (phone numbers as (415) 555-1234, dates as 'June 15, 2026', currency as $1,234.56). smart_format implies punctuate=true. Verify formatted output against your downstream parsing — formatted entities are strings, not structured fields. | Pass / FailAi Platformmedium |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Deepgram
- Ai Platform
- Transcript Features
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ViewFrequently asked questions
What does the Transcript Features eval for Deepgram Deepgram Speech AI Platform test?+
Evaluates Deepgram's Transcript Features across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Speech AI Platform eval coverage.
How is the Transcript Features eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Transcript Features pack for Deepgram Deepgram Speech AI Platform contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Transcript Features pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.