Parse and extract information from documents
Next-generation reasoning model that runs locally in-browser
Query PDF documents using natural language
Extract text from PDF files
Extract named entities from text
Extract information from documents by asking questions
Ask questions about a document and get answers
RAG with multiple types of loaders like text, pdf and web
Extract text from document images
Find relevant text chunks from documents based on a query
Analyze documents to extract and structure text
Extract named entities from medical text
Analyze legal PDFs and answer questions
The Unstructured Chipper App is a tool designed to extract text from scanned documents. It leverages advanced AI technology to parse and retrieve information from unstructured document formats, making it an essential solution for document processing tasks.
What types of files does the Unstructured Chipper App support?
The app supports a variety of file formats, including PDF, JPEG, PNG, and TIFF.
Can I edit the extracted text after processing?
Yes, the app allows you to manually edit and correct any extracted text if needed.
How long does the extraction process typically take?
The processing time depends on the size and complexity of the document, but it is generally completed within a few seconds.