Generate fictional invoices, contracts, purchase orders, offer letters, customer records, and messy spreadsheets in seconds — no real names, no real companies, no leaks.
PDFs · Word Docs · Excel · HTML · Windows installer + pip package · Fully offline
Every output is fictional. Every field — name, address, amount — is randomized per file.
Print-ready fictional business documents, formatted and signed.
Editable Word documents with realistic formatting and content.
Clean or intentionally messy datasets — perfect for ETL testing and cleanup drills.
Rendered web-style documents for scraping tests and UI demos.
Anyone who's ever pasted a real customer name into a demo spreadsheet knows why this exists.
Feed your pipelines, parsers, and validators a folder of realistic edge cases. Invoices with long names. Purchase orders with zero amounts. Contracts with weird formatting.
Stop blurring customer names in screenshots. Generate a folder of fictional but convincing documents before every demo. Looks real. Is completely safe to share.
Test your ingestion logic against controlled volumes. Generate 10 clean files, then 500 messy ones. Repeat until the pipeline breaks — that's the point.
Teaching Excel, SQL, or document processing? Generate a fresh batch of sample files for every class without ever touching real data.
Seed your dev database, populate a file upload UI, stress-test your storage layer. All with data you can delete without consequence.
When you can't use real data — HIPAA, GDPR, SOC 2 — but you need realistic data to test against, RecordForge fills the gap with zero legal exposure.
Both produce the same files. Use whatever fits how you work.
No Python required · 3-step wizard · runs offline
Download the installer, run it, and you're generating files in under two minutes. No terminal, no dependencies, no Python. Just a clean three-step wizard: pick your types, set the volume, choose your output folder.
CLI + Python API · scriptable · cross-platform
Install with pip and drive RecordForge from the command line or your own Python scripts. Integrate it into test suites, CI pipelines, or notebooks. Extend it with your own document types.
Windows app or Python package — both paths are fast.