Free OCR tool

What is OCR?

OCR (Optical Character Recognition) is the technology that turns an image of text into machine-readable text. Instead of a flat picture of a page, you get characters you can copy, search, and edit. It is what lets you pull the text out of a scanned contract, a screenshot, a photo of a whiteboard, or a PDF that was produced from a scan rather than from a word processor.

Traditional OCR engines recognized isolated characters and struggled with real-world images: skewed pages, low light, handwriting, tables, and mixed languages. Modern OCR uses vision models that read a document more like a person does, using surrounding context to resolve ambiguous characters and to preserve structure such as columns, headings, and tables. Netra's OCR uses this AI approach to recognize text across many languages and messy layouts.

How OCR works under the hood

An OCR pipeline generally runs in a few stages. First comes detection: the model finds the regions of the image that contain text and works out their order and orientation. Then comes recognition: each region is decoded into characters. Classic systems did this character by character; modern vision-language models decode whole lines at once and lean on a language model to pick the most plausible reading, which is why they handle blur, unusual fonts, and non-Latin scripts far better. A layout stage reconstructs the reading order and structure so that a two-column page or a table comes back in a sensible shape rather than as scrambled words.

Structured output takes this one step further. Rather than returning a wall of text, the model can be asked to fill a schema: for example, pulling the invoice number, date, and line items out of a receipt into clean JSON. That is what the optional JSON schema toggle above is for: you describe the fields you want, and the extracted data comes back in that shape, ready to drop into a database or a downstream workflow.

OCR for LLMs, RAG, and AI agents

OCR is the first step of most LLM document pipelines. A language model cannot read a scanned contract or a photographed receipt; it needs text. Before a document can be summarized by an LLM, chunked into a RAG index, or handed to an AI agent, it has to be converted into clean, well-ordered text, and the quality of that conversion sets the ceiling for everything downstream. Garbled reading order or dropped table cells become wrong answers later in the pipeline.

This tool is built with that use in mind. The extracted text preserves reading order and structure, so it can be pasted into a prompt or chunked for retrieval as is. If you need fields rather than prose, the JSON schema option returns structured output that drops straight into an agent's tool result or a database, with no regex cleanup step. To estimate how much context a document will consume, run the output through our token counter, and see our guide to LLM inference for AI agents for how document workloads behave in production.

What makes the best free OCR tool?

Free OCR tools vary widely in quality, so it helps to know what to look for. The best free OCR for your workflow is one that meets these criteria:

• Uses an AI vision model, not a legacy character-matching engine, so it stays accurate on skewed scans, low light, handwriting, and unusual fonts.
• Preserves layout and reading order, so multi-column pages and tables come back in a sensible shape.
• Offers structured output, returning JSON that matches your schema instead of a wall of text.
• Handles multiple languages, including non-Latin scripts.
• Works without signup and does not hide the real functionality behind a paywall.
• Deletes your files after processing and does not train on your data.

Netra's free OCR is built to meet all of these criteria: it runs on an AI vision model, returns clean text or schema-shaped JSON, supports auto-detected languages, requires no account, and deletes files immediately after processing.

OCR Bahasa Indonesia

This tool fully supports Indonesian documents: pick "Indonesian" from the language menu or use auto-detect.

Supported File Types

• Images: JPEG, PNG, WebP, GIF, BMP
• Documents: PDF (single and multi-page)
• Maximum file size: 10MB

For best results, use clear, high-resolution images with good lighting and minimal blur.

How it works

• Upload an image or PDF by dragging and dropping or clicking to browse.
• Select a language or use auto-detect for automatic language recognition.
• Click "Process" to extract text from your file.
• Copy the extracted text or view the structured JSON response.

Privacy & Data Handling

Your uploaded files are processed securely and are not stored permanently. Files are deleted immediately after processing. We do not use your data for training purposes. For more details, see our Privacy Policy

API Access

Need to integrate OCR into your application? Check out our OCR API documentation for programmatic access with additional features like custom schemas and batch processing.

New to OCR? Learn what OCR is and how AI OCR works.