# High accuracy PDF extractor with bounding boxes and scores (`interfaze/apify-actors-2`) Actor Extract PDF to text or markdown at the highest accuracy with word level bounding boxes and confidence scores using the interfaze.ai model - **URL**: https://apify.com/interfaze/apify-actors-2.md - **Developed by:** [Interfaze.ai](https://apify.com/interfaze) (community) - **Categories:** AI, Developer tools, Open source - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $900.00 / 1,000 pdf results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## PDF & Image Extractor AI-powered OCR and text extraction using [Interfaze](https://interfaze.ai). Extract text from PDFs, images, scanned documents, handwritten notes, charts, tables, and mathematical equations with bounding boxes and confidence scores. ### What it does This actor takes a URL to a PDF or image file and extracts all text content using Interfaze's `ocr` run task. It supports 100+ languages, handwritten text recognition, and returns precise bounding box coordinates with per-word confidence scores. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `fileUrl` | string | Yes | URL to the PDF or image file | | `extractionPrompt` | string | No | Describe what to extract. Defaults to extracting all text | | `interfazeApiKey` | string | No | Your own Interfaze API key. If not provided, the actor uses its built-in key | #### Supported formats - **Images**: PNG, JPG, JPEG, GIF, WebP, BMP, TIFF - **Documents**: PDF ### Example input ```json { "fileUrl": "https://arxiv.org/pdf/2602.04101", "extractionPrompt": "Extract all text from this document" } ``` ### Output The actor returns the full OCR result including extracted text, sections, line-by-line bounding boxes, and per-word confidence scores: ```json { "name": "ocr", "result": { "extracted_text": "California\nUSA\nDRIVER LICENSE\nDL Y4067081\nCLASS C...", "sections": [ { "text": "California\nUSA\nDRIVER LICENSE...", "lines": [ { "text": "California", "bounds": { "top_left": { "x": 63, "y": 89 }, "width": 205, "height": 40 }, "average_confidence": 0.99, "words": [ { "text": "California", "confidence": 0.99 } ] } ] } ] } } ``` ### Use cases - Invoice and receipt processing - ID card and document verification - Academic paper extraction - Handwritten note digitization - Table and chart data extraction - Legal document processing - Medical record digitization ### API key You can optionally provide your own Interfaze API key in the input. Get one at [interfaze.ai/dashboard](https://interfaze.ai/dashboard). # Actor input Schema ## `fileUrl` (type: `string`): URL to the PDF or image file to extract text from. ## `extractionPrompt` (type: `string`): Describe what to extract from the document. If empty, extracts all text. ## `interfazeApiKey` (type: `string`): Optional. Your own Interfaze API key. If not provided, the actor uses its built-in key. Get your own at https://interfaze.ai/dashboard ## Actor input object example ```json { "fileUrl": "https://arxiv.org/pdf/2602.04101", "extractionPrompt": "Extract all text from this document" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "fileUrl": "https://arxiv.org/pdf/2602.04101", "extractionPrompt": "Extract all text from this document" }; // Run the Actor and wait for it to finish const run = await client.actor("interfaze/apify-actors-2").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "fileUrl": "https://arxiv.org/pdf/2602.04101", "extractionPrompt": "Extract all text from this document", } # Run the Actor and wait for it to finish run = client.actor("interfaze/apify-actors-2").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "fileUrl": "https://arxiv.org/pdf/2602.04101", "extractionPrompt": "Extract all text from this document" }' | apify call interfaze/apify-actors-2 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,interfaze/apify-actors-2" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/UylvmRPQOXNrAoWOf/builds/ci7akegLq3Ukc5Nq3/openapi.json