effective-liteparse

To extract text and tables from PDF and Office files locally, you can parse documents once and save the output. This allows you to search saved content for exact facts, figures, and evidence without relying on remote services or repeated parsing.

Local document parsing is the process of extracting text, tables, and values from files without sending data to external services. You need it when working with sensitive documents that require offline text extraction and fast local search capabilities.

Yes, you need LibreOffice to parse Office files and ImageMagick to parse images. Additionally, extracting text from PDFs and performing local search requires the lit CLI with Node 18 or newer and uv for the bundled search helper.

Yes, you can search saved document output efficiently to find specific values inside extracted PDF text without re-parsing. A bundled ranked search helper uses keyword matching to locate the most relevant passages quickly when guessing is uncertain.

The best way to find facts and figures in documents offline is using a local parser with a ranked search helper. This approach extracts text and tables from PDFs and images once, then searches the saved output to pull evidence locally.

Limitations of local text extraction include dependency on external tools like LibreOffice and ImageMagick for specific formats. It also requires Node 18 or newer and uv, meaning it cannot run in environments lacking these specific CLI dependencies.