Octro - PDF Table Extraction
Turn chaotic PDF tables into clean CSV/JSON in seconds
# Documents AssistantWhat is Octro - PDF Table Extraction?
Octro helps you extract clean tables from PDFs in seconds no manual copy-paste or cleanup. It works especially well on invoices, bank statements, reports, and documents with complex layouts. Upload a PDF, get clean CSV/JSON output instantly. Built for analysts, finance teams, and anyone who deals with messy documents. I’d love your feedback as I continue improving accuracy and features. Try it and let me know what you think! 🙌
Problem
Users struggle with manually extracting and cleaning up tables from PDFs, especially those with complex layouts like invoices, bank statements, and reports. Manual extraction is time-consuming and error-prone, leading to inefficiency in data processing workflows.
Solution
A web-based tool that automatically extracts tables from PDFs and converts them into clean CSV/JSON formats. Users upload a PDF and receive structured data instantly, eliminating manual copy-paste and formatting efforts. Example: Processing financial reports into spreadsheet-ready data.
Customers
Analysts, finance teams, and professionals who regularly handle invoices, bank statements, or documents with intricate layouts. Demographics include mid-to-large enterprises, data-driven roles, and industries like accounting, logistics, and research.
Unique Features
Specializes in extracting tables from PDFs with complex layouts (e.g., merged cells, multi-column formats) and maintains high accuracy without requiring templates or predefined rules.
User Comments
Saves hours of manual work
Handles messy layouts effectively
Simplifies data analysis prep
Intuitive interface
Reliable output for financial documents
Traction
Launched on ProductHunt in May 2024. Traction details like revenue or user count are not publicly disclosed; founder is active on ProductHunt with 50+ upvotes.
Market Size
The global data extraction software market is projected to reach $4.1 billion by 2028 (Source: MarketsandMarkets, 2023), driven by demand for automated document processing in finance and analytics sectors.
