
Document Reader & Verification
Pricing
$25.00/month + usage

Document Reader & Verification
The actor reads info from the document and verify the authenticity
0.0 (0)
Pricing
$25.00/month + usage
2
Monthly users
3
Runs succeeded
>99%
Last modified
2 months 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 and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_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.
Pricing
Pricing model
RentalTo use this Actor, you have to pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage.
Free trial
2 hours
Price
$25.00