Rev AI website screenshot

Rev AI

Rev AI is a speech recognition and transcription API platform from Rev.com that delivers high-accuracy AI-powered speech-to-text for pre-recorded audio and real-time streaming. The platform supports asynchronous batch transcription, real-time streaming via WebSocket, topic extraction, sentiment analysis, language identification, forced alignment, and custom vocabulary to improve accuracy. Rev AI uses Bearer token authentication and offers pay-as-you-go pricing starting at $0.10/hour for Reverb Turbo transcription, plus a free tier of 5 hours of credits for new accounts. Official SDKs are available for Python, Node.js, and Java through the revdotcom GitHub organization.

Rev AI publishes 7 APIs on the APIs.io network. Tagged areas include Speech Recognition, Speech-to-Text, Transcription, Audio, and Natural Language Processing.

The Rev AI catalog on APIs.io includes 1 JSON-LD context.

Rev AI’s developer surface includes documentation, engineering blog, pricing, and 11 more developer resources.

31.2/100 thin ▬ flat Agent 3/100 human only Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
AccessFreemium
7 APIs
Speech RecognitionSpeech-to-TextTranscriptionAudioNatural Language ProcessingStreamingReal-TimeSentiment AnalysisTopic ExtractionLanguage Identification

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 31.2/100 · thin
Contract Quality 3.2 / 25
Developer Ergonomics 2.2 / 20
Commercial Clarity 11.6 / 20
Operational Transparency 6.8 / 13
Governance 0.0 / 12
Discoverability 7.4 / 10
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/rev-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 7

Individual APIs this provider publishes, each with its own machine-readable definition.

Rev AI Asynchronous Speech-to-Text API

Batch transcription API for pre-recorded audio files supporting uploads up to 2 GB (multipart) or 5 TB (source URL), with results typically available within 15 minutes.

Rev AI Streaming Speech-to-Text API

Real-time speech transcription via WebSocket connections supporting up to 10 concurrent streams with a 3-hour time limit per stream.

Rev AI Topic Extraction API

Extracts key topics and insights from transcripts generated by the Rev AI speech-to-text pipeline.

Rev AI Sentiment Analysis API

Provides sentiment insights for transcripts, priced at $0.0008 per 10 words analyzed.

Rev AI Language Identification API

Detects the spoken language of audio input, priced at $0.003 per minute.

Rev AI Forced Alignment API

Aligns existing transcripts with audio for precise word-level timestamps, priced at $0.003 per minute.

Rev AI Custom Vocabulary API

Allows submission of custom vocabulary lists to improve transcription accuracy for domain-specific terminology.

Scroll for all 7

Pricing Plans 1

Published pricing tiers and plan structures.

Rev Ai Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Rev Ai Rate Limits

10 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Rev Ai Context

0 classes · 36 properties

JSON-LD

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Rev Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Rev Ai Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: rev-ai
name: Rev AI
type: Index
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/rev-ai.png
url: https://raw.githubusercontent.com/api-evangelist/rev-ai/refs/heads/main/apis.yml
created: 2026-06-12
modified: 2026-06-12
specificationVersion: '0.19'
description: 'Rev AI is a speech recognition and transcription API platform from Rev.com that delivers high-accuracy AI-powered
  speech-to-text for pre-recorded audio and real-time streaming. The platform supports asynchronous batch transcription, real-time
  streaming via WebSocket, topic extraction, sentiment analysis, language identification, forced alignment, and custom vocabulary
  to improve accuracy. Rev AI uses Bearer token authentication and offers pay-as-you-go pricing starting at $0.10/hour for
  Reverb Turbo transcription, plus a free tier of 5 hours of credits for new accounts. Official SDKs are available for Python,
  Node.js, and Java through the revdotcom GitHub organization.

  '
tags:
- Speech Recognition
- Speech-to-Text
- Transcription
- Audio
- Natural Language Processing
- Streaming
- Real-Time
- Sentiment Analysis
- Topic Extraction
- Language Identification
apis:
- name: Rev AI Asynchronous Speech-to-Text API
  description: Batch transcription API for pre-recorded audio files supporting uploads up to 2 GB (multipart) or 5 TB (source
    URL), with results typically available within 15 minutes.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/asynchronous/get-started
  baseURL: https://api.rev.ai/speechtotext/v1
  tags:
  - Transcription
  - Asynchronous
  - Batch
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/asynchronous/get-started
- name: Rev AI Streaming Speech-to-Text API
  description: Real-time speech transcription via WebSocket connections supporting up to 10 concurrent streams with a 3-hour
    time limit per stream.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/streaming
  baseURL: wss://api.rev.ai/speechtotext/v1/stream
  tags:
  - Streaming
  - Real-Time
  - WebSocket
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/streaming
- name: Rev AI Topic Extraction API
  description: Extracts key topics and insights from transcripts generated by the Rev AI speech-to-text pipeline.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/topic-extraction
  baseURL: https://api.rev.ai/topic_extraction/v1
  tags:
  - Topic Extraction
  - NLP
  - Analytics
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/topic-extraction
- name: Rev AI Sentiment Analysis API
  description: Provides sentiment insights for transcripts, priced at $0.0008 per 10 words analyzed.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/sentiment-analysis
  baseURL: https://api.rev.ai/sentiment_analysis/v1
  tags:
  - Sentiment Analysis
  - NLP
  - Analytics
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/sentiment-analysis
- name: Rev AI Language Identification API
  description: Detects the spoken language of audio input, priced at $0.003 per minute.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/language-identification
  baseURL: https://api.rev.ai/languageid/v1
  tags:
  - Language Identification
  - NLP
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/language-identification
- name: Rev AI Forced Alignment API
  description: Aligns existing transcripts with audio for precise word-level timestamps, priced at $0.003 per minute.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/forced-alignment
  baseURL: https://api.rev.ai/alignment/v1
  tags:
  - Forced Alignment
  - Audio
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/forced-alignment
- name: Rev AI Custom Vocabulary API
  description: Allows submission of custom vocabulary lists to improve transcription accuracy for domain-specific terminology.
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.rev.ai/api/custom-vocabulary
  baseURL: https://api.rev.ai/speechtotext/v1/vocabularies
  tags:
  - Custom Vocabulary
  - Transcription
  properties:
  - type: Documentation
    url: https://docs.rev.ai/api/custom-vocabulary
common:
- type: TrustCenter
  url: security/rev-ai-trust-center.yml
- type: DomainSecurity
  url: security/rev-ai-domain-security.yml
- type: Website
  url: https://www.rev.ai/
- type: Documentation
  url: https://docs.rev.ai/
- type: GitHubOrganization
  url: https://github.com/revdotcom
- type: LinkedIn
  url: https://www.linkedin.com/company/rev-com
- type: Blog
  url: https://www.rev.com/blog
- type: Pricing
  url: https://www.rev.ai/pricing
- type: StatusPage
  url: https://status.rev.ai/
- type: Plans
  url: plans/rev-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/rev-ai-rate-limits.yml
- type: FinOps
  url: finops/rev-ai-finops.yml
- type: BlogFeed
  url: blogs/blogs.json
- type: JSONLDContext
  url: json-ld/rev-ai-context.jsonld
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com