OpenAI Whisper API

Transcribes or translates audio files to text via OpenAI's hosted Whisper model at $0.006/minute, with the underlying model also available for self-hosting.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ AI & Machine Learning stt transcription openai whisper audio ai open-source
⚙ Agent Friendliness
64
/ 100
Can an agent use this?
🔒 Security
83
/ 100
Is it safe for agents?
⚡ Reliability
82
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
83
Auth Simplicity
88
Rate Limits
82

🔒 Security

TLS Enforcement
100
Auth Strength
82
Scope Granularity
68
Dep. Hygiene
86
Secret Handling
82

Single API key grants access to all OpenAI services; no audio-specific key scoping available; use org-level keys for production

⚡ Reliability

Uptime/SLA
82
Version Stability
85
Breaking Changes
80
Error Recovery
80
AF Security Reliability

Best When

You are already using the OpenAI ecosystem and need straightforward file-based transcription with broad language support at low cost.

Avoid When

Your use case requires real-time streaming transcription or you need to avoid vendor lock-in to OpenAI's platform.

Use Cases

  • Transcribe uploaded audio or video files in agent pipelines that tolerate batch-style latency
  • Translate spoken foreign-language audio directly to English text without a separate translation step
  • Generate timestamped transcripts for indexing podcast or meeting recordings
  • Extract spoken commands from audio files submitted to an async agent workflow
  • Use the open-source model locally for air-gapped or cost-sensitive transcription workloads

Not For

  • Real-time streaming transcription where sub-second latency is required (API is file-upload only, not streaming)
  • Production workloads requiring a formal uptime SLA (OpenAI API SLAs cover the platform broadly)
  • Very long audio files exceeding 25 MB without pre-chunking the audio client-side

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

Standard OpenAI API key via Authorization: Bearer header; shared with all OpenAI API services under the same account

Pricing

Model: usage_based
Free tier: No
Requires CC: No

The self-hosted open-source Whisper model is free; this evaluation covers the hosted API at api.openai.com/v1/audio only

Agent Metadata

Pagination
none
Idempotent
No
Retry Guidance
Documented

Known Gotchas

  • Hard 25 MB file size limit requires agents to pre-chunk long audio before submission; no server-side chunking is offered
  • The API accepts multipart/form-data only; agents must encode audio files as form fields, not JSON body payloads
  • Language auto-detection works well but specifying the wrong language hint can degrade accuracy significantly
  • Timestamps in verbose_json mode are word-level only for some models; agents expecting segment-level granularity must handle optional fields
  • The hosted API model version (whisper-1) may lag behind the latest open-source Whisper release; accuracy parity is not guaranteed

Alternatives

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for OpenAI Whisper API.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo

Scores are editorial opinions as of 2026-03-07.

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