Blog topic
11 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.
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Turn real credit card statement PDFs into statement and transaction rows, check the values against each source, and export clean structured data.
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Turn differently formatted PDFs into consistent SQL tables. Define one reusable schema, preserve repeating rows, and query every document together.
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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.
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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.
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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 articleStep-by-step guide to model invoices with parent/child tables and foreign keys so your extracted data lands in clean relational SQLite.
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