Blog topic
12 articles about Data Formats.
Launch announcement for PdfParse - a novel, robust, and affordable platform for extracting structured data from PDFs with automatic data normalization and SQLite database generation.
Read article
Turn real credit card statement PDFs into statement and transaction rows, check the values against each source, and export clean structured data.
Read article
Turn differently formatted PDFs into consistent SQL tables. Define one reusable schema, preserve repeating rows, and query every document together.
Read article
Learn when to keep variable PDF data in JSON and when to use related child tables for records you need to query, compare, and export.
Read article
Extract a PDF once with a reusable schema, then choose CSV, JSON, or SQLite for spreadsheets, software integrations, and SQL workflows.
Read articleConvert PDF data into a SQLite database. Define related tables, process documents, run SQL queries, and export the complete database.
Read articleExtract a table from a scanned PDF to CSV with OCR. Keep rows and columns correct, check OCR errors, and validate the final file.
Read articleConvert a PDF table into a JSON array. Define a schema, preserve data types, process scanned PDFs with OCR, and validate the result.
Read article
Extract bank statement transactions into related tables, separate credits from debits, reconcile the closing balance, and export reviewed data.
Read articleConvert a PDF table to CSV. Keep rows and columns correct. Learn how to process digital and scanned PDFs, merged cells, and complex tables.
Read articleTransform unstructured resume PDFs into a searchable SQLite database. Extract candidate information, skills, experience, and education into structured tables for recruiting and talent management.
Read articleStep-by-step guide to model invoices with parent/child tables and foreign keys so your extracted data lands in clean relational SQLite.
Read article