OCR It – pull text out of un-copyable documents for your LLM
OCR It, a new open-source utility, has been released to help developers extract text from documents that are not copyable, such as scanned PDFs or images, and make that text available for use with large language models (LLMs). The project is hosted on GitHub under the repository thiagotigaz/ocr-it and was shared on Hacker News on August 24, 2026. The tool's primary purpose is to bridge the gap between static, un-copyable documents and the text-based input requirements of modern LLMs. By providing a straightforward way to OCR such documents, it enables developers to feed content from a wider variety of sources into their AI workflows. The GitHub repository serves as the central hub for the project, where users can find the source code, documentation, and potentially contribute to its development. The tool's emergence highlights the ongoing need for robust text extraction solutions in the AI development ecosystem, particularly as LLMs become more integrated into everyday applications. The project's listing on Hacker News suggests it has garnered interest from the developer community, though specific usage statistics or adoption metrics are not provided in the source.
Enables developers to feed un-copyable document text into LLMs, expanding AI use cases.