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Document Reader & Verification

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Document Reader & Verification

Document Reader & Verification

mina_safwat/document-reader
Try for free

2 hours trial then $25.00/month - No credit card required now

The actor reads info from the document and verify the authenticity

Developer
Maintained by Community

Actor Metrics

  • 3 Monthly users

  • No reviews yet

  • 2 bookmarks

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified a month ago

You can access the Document Reader & Verification programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1# Start Server-Sent Events (SSE) session
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>&actors=mina_safwat/document-reader
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Document Reader & Verification via Model Context Protocol (MCP) server

MCP server lets you use Document Reader & Verification within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Document Reader & Verification Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "imageAsBase64String": "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"
8},
9    "name": "mina_safwat/document-reader"
10  }
11}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Document Reader & Verification

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "mina_safwat/document-reader"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.