Parse documents to extract structured information
Process text to extract entities and details
Traditional OCR 1.0 on PDF/image files returning text/PDF
Extract PDFs and chat to get insights
Compare different Embeddings
Extract text from multilingual invoices
Fetch contextualized answers from uploaded documents
Search for similar text in documents
Search documents and retrieve relevant chunks
Using Paddleocr to extract information from billing receipt
Find relevant passages in documents using semantic search
Extract text from images
Process and extract text from receipts
Smart Document Parser is an advanced tool designed to extract structured information from scanned documents. It leverages AI technology to accurately parse and organize data from various document formats, making it easier to work with the extracted content. Ideal for users who need to streamline document processing, it is particularly useful for extracting text from scanned documents and converting unstructured data into a usable format.
• Text Extraction: Accurately extracts text from scanned documents, including PDFs, images, and other formats.
• Layout Preservation: Maintains the original document layout, ensuring tables, lists, and formatting are preserved.
• Multi-Language Support: Processes documents written in multiple languages, making it a versatile tool for global users.
• Smart Data Recognition: Automatically identifies and categorizes data such as dates, names, and numbers.
• Export Options: Enables users to export extracted data in popular formats like CSV, JSON, and Excel.
What types of documents does Smart Document Parser support?
Smart Document Parser supports a wide range of document formats, including PDF, JPEG, PNG, and scanned images.
Can Smart Document Parser handle handwritten text?
While it primarily focuses on printed text, it can also process handwritten text with varying degrees of accuracy depending on the quality of the input.
How can I improve the accuracy of the extracted data?
Ensure the scanned document is clear and well-lit. Avoid blurry or skewed images, as they may reduce accuracy.