CONNECT APP

Build with OCRSpace

The OCR.space Online OCR service converts scans or (smartphone) images of text documents into editable files by using Optical Character Recognition (OCR). The OCR software also can get text from PDF . Our Online OCR service is free to use, no registration necessary. Just upload your image files.

Developer Tools

API key

Visit OCRSpace ↗ Start building

MCP

Give your agent OCRSpace tools

Every OCRSpace action is exposed as an MCP tool on Pipedream's remote server. Point a client at it with your end user's ID and Connect resolves that user's OCRSpace account for each tool call — you store no tokens.

Pipedream Connect

// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": "{project_id}",
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "ocrspace",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Process Image:
const result = await mcp.callTool({
  name: "ocrspace-process-image",
  arguments: {
    language: "Language",
    isOverlayRequired: true,
  },
})

# access_token: mint a short-lived token with the Connect SDK — see the MCP guide
headers = {
    "Authorization": f"Bearer {access_token}",
    "x-pd-project-id": "{project_id}",
    "x-pd-environment": "production",
    "x-pd-external-user-id": "{external_user_id}",  # any stable ID for this user in your system
    "x-pd-app-slug": "ocrspace",
}

async with streamablehttp_client("https://remote.mcp.pipedream.net/v3", headers=headers) as (read, write, _):
    async with ClientSession(read, write) as session:
        await session.initialize()
        tools = await session.list_tools()

        # e.g. run Process Image:
        result = await session.call_tool("ocrspace-process-image", {
            "language": "Language",
            "isOverlayRequired": True,
        })

MCP guide →

API PROXY

Call the OCRSpace API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the OCRSpace API with the connected user's credentials attached. You store no tokens and write no refresh logic.

Pipedream Connect

const resp = await pd.proxy.get({
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  accountId: "apn_xxxxxxx",
  url: "https://api.ocr.space/parse/imageurl",
})

// Any allowed OCRSpace endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.

# The path segment is the target URL, URL-safe base64 encoded:
# https://api.ocr.space/parse/imageurl

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkub2NyLnNwYWNlL3BhcnNlL2ltYWdldXJs?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"

API proxy guide →

SDK

Run OCRSpace actions from your backend

Connect a user's OCRSpace account once, then run Process Image on their behalf from your own code — TypeScript, Python, or plain HTTP.

Pipedream Connect

import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "ocrspace-process-image",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    ocrspace: { authProvisionId: "apn_xxxxxxx" },
    language: "Language",
    isOverlayRequired: true,
  },
})

from pipedream import Pipedream

pd = Pipedream(
    client_id="{oauth_client_id}",
    client_secret="{oauth_client_secret}",
    project_id="{project_id}",
    project_environment="production",
)

result = pd.actions.run(
    id="ocrspace-process-image",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "ocrspace": {"authProvisionId": "apn_xxxxxxx"},
        "language": "Language",
        "isOverlayRequired": True,
    },
)

curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "ocrspace-process-image",
    "configured_props": {
      "ocrspace": { "authProvisionId": "apn_xxxxxxx" },
      "language": "Language",
      "isOverlayRequired": true
    }
  }'