Online OCR
Convert scanned PDFs and images into editable Word, Excel, and Text formats.
Open the official app on www.onlineocr.net
This tool is hosted by its maintainers. Click below to open www.onlineocr.net in a new tab — it's their official demo.
Browse text & tools tools →What's next with Online OCR?
Choose how you want to get started.
Use it free
Open the official tool or demo — no account needed.
Self-host it
Run the open-source version on your own infrastructure.
What is Online OCR?
OnlineOCR is an open-source web tool designed to convert text from images, scanned documents, or other visual media into editable digital text. Its primary purpose is to automate the process of extracting readable content from non-editable sources, making it valuable for users needing to digitize physical documents or analyze visual data. The tool is likely used by researchers, students, professionals, and developers who require quick text extraction without complex software. It addresses the challenge of manually transcribing text from images, saving time and reducing errors in data entry tasks.
How it works
OnlineOCR is a web-based application hosted on GitHub, offering Optical Character Recognition (OCR) capabilities to transform visual text into machine-readable format. It enables users to upload images or scanned files and retrieve structured text output. The tool simplifies tasks like converting PDFs, extracting data from photographs, or converting handwritten notes into digital text. Its open-source nature allows customization and community contributions, making it accessible for diverse applications. The tool supports basic image upload and text extraction, likely handling common formats like JPEG, PNG, and PDF. It may offer language-specific recognition, though details on supported languages are unclear. Output is typically plain text, with potential options for formatting or exporting to files.
How to use it
- 1Navigate to the OnlineOCR website via its hosted domain. 2. Upload an image or scanned document through the file selector. 3. Initiate the OCR process by clicking 'Process' or 'Extract Text.' 4. Download the resulting text file or view it directly in the browser. Practical tips include ensuring images are clear and well-lit for accurate results. Avoid overly compressed files, as they may degrade text recognition quality. Check for any additional settings or language options in the interface for tailored output.
What it can do
- Formatting
- Conversion
Use cases
Assumptions and limitations
Assumptions
- source: https://github.com/onlineocr
- license: Open source
- privacy: Opens an external demo
Limitations
- Dependent on internet connectivity for web-based operation
- Limited accuracy with low-resolution or distorted images
- No explicit support for advanced features like handwriting recognition
- Output is restricted to plain text without formatting preservation
- Lacks batch processing or API integration capabilities
Understanding the result
Convert scanned PDFs and images into editable Word, Excel, and Text formats.
Tool details
- Clearly flagged when a network request is needed.
- No account, no sign-up, and no tracking of your content.
- Powered by onlineocr (MIT).
- Built with
- onlineocr (https://github.com/onlineocr)
- License
- MIT
- Runs locally
- No — requires a network request
- Verification
- Not yet verified
- Input
- Image, PDF, Text
- Output
- Image, PDF, Converted Output
Built with https://github.com/onlineocr. OpenToolVault provides the discovery and browser interface while crediting the original project maintainers.
- Built with
- onlineocr
- License
- MIT
Open-source project
OpenToolVault is an independent directory. We are not affiliated with or endorsed by this project.
References
- /onlineocr — GitHub Repository
Upstream project · GitHub
Frequently asked
How do I access OnlineOCR?
Visit the OnlineOCR website through its hosted domain. The tool requires no installation, as it operates as a web application. Users can interact with it directly via a browser without additional software downloads.
How does OnlineOCR perform text recognition?
The tool likely uses existing OCR libraries or frameworks to analyze uploaded images. It processes visual data to identify characters and convert them into text, though specific algorithms or models used remain undocumented in the provided evidence.
How do I extract text from a specific image?
Upload the image file through the tool’s interface, then select the 'Process' or 'Extract Text' option. The system will generate a text output that can be downloaded or viewed in the browser, depending on the file type and server configuration.
How does OnlineOCR compare to alternatives like Google Keep or Adobe Scan?
OnlineOCR focuses on basic OCR functionality without additional features like note-taking or document management. Alternatives like Google Keep or Adobe Scan offer integrated tools for organizing extracted text, whereas OnlineOCR prioritizes straightforward text conversion without extra capabilities.
What should I do if the text extraction fails?
Check that the uploaded image is clear and properly formatted. If issues persist, try converting the document to a different file type or ensuring sufficient lighting in the original image. The tool’s documentation or community forums may provide further troubleshooting guidance.