Blog topic
11 articles about Data Formats.
See how PdfParse turns PDFs into connected tables, keeps records linked to source documents, and lets you review and export data as SQLite, JSON, or CSV.
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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.
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Convert 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.
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Model an invoice as a parent table with a line-items child table in PdfParse, create it in the dashboard or API, and verify the linked rows with SQL.
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