An unofficial demo of Paddle OCR.
Answer questions based on provided text
Employs Mistral OCR for transcribing historical data
Fetch contextualized answers from uploaded documents
Extract PDFs and chat to get insights
Analyze documents to extract and structure text
Analyze scanned documents to detect and label content
Find information using text queries
Search documents for specific information using keywords
Process and extract text from receipts
Search... using text for relevant documents
Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Query deep learning documents to get answers
Paddle OCR is a tool designed to extract text from scanned documents and images. It leverages advanced OCR (Optical Character Recognition) technology to recognize and convert text from visual formats into editable digital text. This tool is particularly useful for processing documents, invoices, receipts, and other text-based images, making it easier to work with digital data.
• Text Extraction: Accurately extracts text from images, including scanned documents and photos.
• Multi-Language Support: Recognizes text in multiple languages, catering to diverse user needs.
• High Accuracy: Utilizes cutting-edge OCR algorithms to ensure precise text recognition.
• Ease of Use: Simple integration and usage, even for non-technical users.
• Image Compatibility: Supports various image formats, ensuring flexibility in processing different types of files.
What file formats does Paddle OCR support?
Paddle OCR supports common image formats such as PNG, JPG, and BMP. It can also process multi-page documents in formats like PDF.
How long does text extraction typically take?
The processing time depends on the size and complexity of the image. Typically, extraction is completed in a matter of seconds.
Is Paddle OCR available for mobile devices?
Currently, Paddle OCR is primarily designed for desktop use, but it can be integrated into mobile applications with additional configurations.