$0.49/hr Gets You Everything Others Charge Extra For

Transcription API pricing pages are designed to look cheap. The base rate is always front and center: $0.37/hr, $0.36/hr, $0.0043/min. What they don't tell you is that the features you actually need for call center intelligence - sentiment analysis, PII redaction, topic detection, entity extraction - are all add-on charges that can double your bill.

Let's break it down with real numbers.

Listen to the call we're pricing

This is the same AT&T inbound call we used in our transcription modes and PII redaction comparisons. A ~3 minute device exchange call with identity verification, address confirmation, and account changes.

Feature-by-feature cost breakdown

Here's what it actually costs to process this call with full intelligence at each provider:

*AssemblyAI total assumes Universal-3 Pro base + all available add-ons. Features like financial extraction and translation are not available at any price. **Deepgram total includes only the 3 add-ons they offer; 7 features are unavailable entirely.

The real cost at scale

At 1,000 audio hours per month (a mid-size contact center), the math gets serious:

Deepgram looks cheaper on paper, but you're missing 7 features that VoxParse includes: topic detection, entity extraction, content moderation, auto chapters, financial extraction, translation, and action items. To get comparable intelligence, you'd need to build those yourself or add a third-party LLM call - which typically costs $0.03-0.10+ per call.

One API call vs. five

Price isn't even the full story. With VoxParse, you make one POST request and get everything back in a single structured JSON response. With AssemblyAI, you need to:

1. POST the audio and get a job ID
2. Poll until transcription completes
3. GET the transcript
4. GET sentiment (separate endpoint)
5. GET entities (separate endpoint)
6. GET topic detection (separate endpoint)

That's 5+ API calls, polling infrastructure, and webhook handlers - all to get what VoxParse returns in one synchronous response.

What you get from our demo call

Here's the actual VoxParse output for the AT&T call above - one request, $0.49/hr, all features enabled:

curl -X POST https://api.voxparse.com/v1/transcribe \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "[email protected]" \
  -F "topic_detection=true" \
  -F "entity_detection=true" \
  -F "content_moderation=true" \
  -F "auto_chapters=true"

{
  "ai_analysis": {
    "call_summary": "Customer called about a device exchange offer...",
    "call_type": "device_exchange",
    "call_outcome": "resolved",
    "customer": { "name": "Mr. Milgen", "phone": "406-539-1202" },
    "agent": { "name": "Erica" },
    "sentiment": { "customer_sentiment": "neutral", "agent_performance": "excellent" },
    "topics": ["device exchange", "identity verification", "shipping"],
    "entities": {
      "people": ["Erica", "Mr. Milgen"],
      "organizations": ["AT&T", "USPS"],
      "products": ["BlackBerry Torch"],
      "locations": ["98 Maxton Drive"]
    },
    "content_moderation": {
      "profanity_detected": false,
      "hostility_level": "none"
    },
    "chapters": [
      { "title": "Greeting & Number Collection", "start_time_approx": "0:00" },
      { "title": "Identity Verification", "start_time_approx": "0:32" },
      { "title": "Device Exchange Setup", "start_time_approx": "1:15" },
      { "title": "Return Instructions & Wrap-up", "start_time_approx": "2:10" }
    ],
    "compliance": {
      "recording_disclosure": false,
      "identity_verified": true,
      "sensitive_data_shared": ["phone number", "SSN (last 4)", "mailing address"]
    },
    "transcript_cleaned": "Agent: Thanks for calling AT&T..."
  }
}

Every field above is included at $0.49/hr. No add-ons. No separate API calls. No webhook infrastructure.

Bottom line

The transcription API market has a pricing problem: low base rates that balloon with add-on fees. VoxParse takes a different approach - a single flat rate that includes every feature. No surprises, no calculator needed, no "contact sales for pricing" on the features that actually matter.

See the full feature comparison on our benchmark page, or read the feature flags documentation to start building.