Free OLM OCR Online: Convert PDFs to Editable Text
Extract text from any PDF/Image with OLMOCR. Powered by OLM and enhanced with AI, convert scanned documents into editable, searchable text in seconds, thanks to OLMOCR's efficiency.
Free OCR Service
Start for free with our OCR tool. Extract text from your first 3 pages at no charge, thanks to OLMOCR.
AI-Enhanced Accuracy
Our OCR technology uses advanced AI to analyze document context, ensuring highly accurate text extraction even from complex layouts, thanks to OLMOCR's core.
Multiple Format Support
Process various document types including scanned papers, photos, screenshots, and PDFs with consistent high-quality results, all powered by OLMOCR.
OLMOCR Examples
Explore real-world examples of OLMOCR in action. See how our AI-powered OCR technology transforms various types of documents - from handwritten notes to complex PDFs - into accurate, editable text.
Each example demonstrates OLMOCR's capability to handle different document types, showing both the original document and the extracted text output with high accuracy.
Original Document
Extracted Text
Abstract We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes dense autoregressive models with improved architecture and training recipe, pretraining data mixtures, and instruction tuning recipes. Our modified model architecture and training recipe achieve both better training stability and improved per-token efficiency. Our updated pretraining data mixture introduces a new, specialized data mix called Dolmino Mix 1124, which significantly improves model capabilities across many downstream task benchmarks when introduced via late-stage curriculum training (i.e. specialized data during the annealing phase of pretraining). Finally, we incorporate best practices from Tülu 3 to develop OLMo 2-Instruct, focusing on permissive data and extending our final-stage reinforcement learning with verifiable rewards (RLVR). Our OLMo 2 base models sit at the Pareto frontier of performance to compute, often matching or outperforming open-weight only models like Llama 3.1 and Qwen 2.5 while using fewer FLOPs and with fully transparent training data, code, and recipe. Our fully open OLMo 2-Instruct models are competitive with or surpassing open-weight only models of comparable size, including Qwen 2.5, Llama 3.1 and Gemma 2. We release all OLMo 2 artifacts openly—models at 7B and 13B scales, both pretrained and post-trained, including their full training data, training code and recipes, training logs and thousands of intermediate checkpoints. The final instruction model is available on the Ai2 Playground as a free research demo.
Pricing Plans
Purchase on demand, no subscription fee, lifetime validity
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Frequently Asked Questions
Free OLM OCR Online is a web-based tool that uses Optical Character Recognition (OCR) technology, powered by OLM and enhanced with AI, to convert images (like scanned documents, photos, or screenshots) into editable text. It's completely free to use, and OLMOCR is the engine behind it.
While specific formats aren't listed, OCR tools generally support common image formats like JPG, JPEG, PNG, TIFF, GIF, and BMP. It's best to use high-quality images for optimal results. You may want to explicitly list the supported formats on your website, and highlight OLMOCR's compatibility.
The accuracy is very high thanks to the combination of OLM OCR and AI enhancements. The AI helps to correct errors and improve recognition, especially for complex layouts or less-than-perfect image quality. However, like all OCR, perfect accuracy isn't guaranteed, especially with handwritten text or very low-resolution images. OLMOCR's precision is key.
You should specify the file size limit on your website. A common practice is to have a reasonable limit (e.g., 10MB, 20MB) to ensure smooth processing and prevent abuse. If there's no limit, state that, but be prepared for potential performance issues with very large files.
Yes, your document will be uploaded. But don't worry, all processing is done on the server side, and the document is deleted after processing.
OLM OCR likely supports multiple languages though only optimized for English documents, but you can try other languages. OLMOCR's versatility is key.
Handwritten text recognition is significantly more challenging than printed text. A good answer would be: \"While our AI-powered OCR can sometimes recognize handwritten text, the accuracy will be lower than with printed text. Results will vary depending on the clarity and style of the handwriting. We recommend using clear, well-lit images of printed text for the best results.\"
You can only download the extracted text in TXT format.
If you plan to offer an API for developers, mention it here. If not, state: \"We currently do not offer a public API, but we may consider it in the future.\"
Provide a brief explanation of OLM OCR. For example: \"OLM OCR is a powerful optical character recognition technology that forms the foundation of our service. It's known for its accuracy and speed in converting images to text, and OLMOCR is the name you can trust.\"
Explain the role of AI. For example: \"The AI enhancement helps to improve the accuracy of the OLMOCR process by identifying and correcting errors, recognizing complex layouts, and handling variations in font styles and image quality. It learns from a vast dataset of images and text to provide the best possible results.\"
Provide contact information. For example: \"If you have any other questions or encounter any issues, please contact us at cc@freeolmocm.com.\"
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