# Rev ai

```json
{
  "name": "Rev ai",
  "slug": "rev_ai",
  "url": "https://composio.dev/toolkits/rev_ai",
  "markdown_url": "https://composio.dev/toolkits/rev_ai.md",
  "logo_url": "https://logos.composio.dev/api/rev_ai",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-24T11:22:24.097Z"
}
```

![Rev ai logo](https://logos.composio.dev/api/rev_ai)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Rev ai MCP or direct API to transcribe audio, analyze speech, extract keywords, and summarize recordings through natural language.

## Summary

Rev ai is a speech recognition platform that converts audio and video into text using advanced machine learning. Perfect for fast, accurate transcriptions and unlocking searchable insights from your recordings.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 11

## Images

- Logo: https://logos.composio.dev/api/rev_ai

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Rev AI.
  - Setup:
    - Configure Api Key credentials for Rev AI.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Transcribe this meeting audio to text
- Get captions for latest video job
- List all transcription jobs from last week
- Submit custom vocabulary for medical terms

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `REV_AI_DELETE_CUSTOM_VOCABULARY` | Delete Custom Vocabulary | Tool to delete a completed custom vocabulary and its data. Use when you need to remove an unused vocabulary after confirming it's no longer needed. |
| `REV_AI_DELETE_JOB_BY_ID` | Delete Job By ID | Tool to delete a completed transcription job and its data. Use when you need to permanently remove a finished job after confirming it's no longer needed. |
| `REV_AI_GET_ACCOUNT` | Get Account | Tool to retrieve developer account details. Use after authenticating with Rev AI. |
| `REV_AI_GET_CAPTIONS` | Get Captions | Tool to retrieve captions (SRT or VTT) for a completed Rev.ai transcription job. Use after confirming the job status is 'completed'. |
| `REV_AI_GET_CUSTOM_VOCABULARY_DETAILS` | Get Custom Vocabulary Details | Tool to retrieve custom vocabulary processing details. Use when needing to fetch the status and submitted phrases for a specific custom vocabulary after creation. |
| `REV_AI_GET_JOB_BY_ID` | Get Job by ID | Tool to fetch details of a transcription job by its ID. Use when confirming job status and metadata are accurate. |
| `REV_AI_GET_LIST_OF_JOBS` | Get List of Jobs | Tool to get list of transcription jobs from the past 30 days. Use when you need to retrieve and paginate through recent transcription tasks. |
| `REV_AI_GET_TRANSCRIPT_BY_ID` | Get Transcript by ID | Tool to retrieve the transcript of a completed Rev.ai job. Use after confirming job is complete. Supports JSON format (with timestamps and speaker info) or plain text format. |
| `REV_AI_START_STREAM_TRANSCRIPTION` | Start Stream Transcription | Tool to start a WebSocket transcription stream. Use when you need real-time speech-to-text streaming via Rev.ai. |
| `REV_AI_SUBMIT_CUSTOM_VOCABULARY` | Submit Custom Vocabulary | Tool to submit a custom vocabulary for improved speech recognition. Use when you want to process domain-specific terms asynchronously. |
| `REV_AI_SUBMIT_TRANSCRIPTION_JOB` | Submit Transcription Job | Tool to submit a new transcription job. Use when you have a media URL or file bytes ready for async processing. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Rev ai
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["rev_ai"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["rev_ai"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Rev ai tools with your agent

Send a request, execute the Rev ai tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Transcribe this audio file and return plain text."}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Transcribe this audio file and return plain text." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Rev ai and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["rev_ai"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["rev_ai"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Rev ai request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Rev ai tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Transcribe this audio file and return plain text.")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Transcribe this audio file and return plain text.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Rev ai Integration

- Supports both Rev ai MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for uploading audio, retrieving transcripts, and querying transcription status

### 2. Managed Auth

- Centralized, secure API key management for Rev ai
- Easy credential rotation and revocation—no more hard-coded secrets
- Seamless experience for users and agents with zero manual token handling

### 3. Agent Optimized Design

- Tool schemas tuned for LLMs, so agents can reliably transcribe and fetch data
- Detailed execution logs for every audio file processed, so you always stay in control

### 4. Enterprise Grade Security

- Robust RBAC—decide exactly who (and which agents) gets Rev ai access
- All actions auditable, supporting compliance and peace of mind
- Scoped permissions for minimum-necessary access to your sensitive audio data

## Use Rev ai with any AI Agent Framework

Choose a framework you want to connect Rev ai with:

- [Claude Code](https://composio.dev/toolkits/rev_ai/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/rev_ai/framework/claude-cowork)
- [OpenAI Agents SDK](https://composio.dev/toolkits/rev_ai/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/rev_ai/framework/claude-agents-sdk)
- [Codex](https://composio.dev/toolkits/rev_ai/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/rev_ai/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/rev_ai/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/rev_ai/framework/atomic-agent)
- [Google ADK](https://composio.dev/toolkits/rev_ai/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/rev_ai/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/rev_ai/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/rev_ai/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/rev_ai/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/rev_ai/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/rev_ai/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/rev_ai/framework/autogen)

## Related Toolkits

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- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
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- [AssemblyAI](https://composio.dev/toolkits/assemblyai) - AssemblyAI is a speech-to-text and audio intelligence API for uploaded or hosted media. Use it to turn audio and video into accurate transcripts, summaries, and insights.
- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
- [Avoma](https://composio.dev/toolkits/avoma) - Avoma is an AI meeting assistant for recording, transcribing, analyzing, and managing meetings, calls, notes, scorecards, and conversation intelligence. It helps teams turn conversations into searchable notes, follow-ups, coaching insights, and revenue intelligence.
- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
- [Black Forest Labs](https://composio.dev/toolkits/bfl) - Black Forest Labs provides hosted FLUX models for generating and editing images and videos. It offers fast, flexible media creation with asynchronous processing and fine-tuning support.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.

## Frequently Asked Questions

### Do I need my own developer credentials to use Rev ai with Composio?

Yes, Rev ai requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
