I will clean and reconcile your PDF excel and CSV data
About this Gig
Turn messy, authorized files into a consistent table without hiding the problems. I will clean agreed fields, standardize formats, identify duplicates and separate conflicts for your review.
Basic: one CSV or straightforward XLSX file, up to 1,000 rows. Standard: up to 3 files and 5,000 rows, including up to 10 text-PDF pages in one agreed layout. Premium: up to 10 files and 20,000 rows, with up to 30 text-PDF pages in one layout and a reusable runner for the agreed transformation. File, row and page limits apply together.
You receive clean XLSX/CSV files, a field-mapping note, counts reconciliation and a review log for invalid or conflicting records. Original files stay unchanged. Unknown dates or values are not guessed. AI-assisted work is checked against the supplied files.
No scanned-PDF OCR, handwriting, password bypass, macro execution, spreadsheet-formula repair, production imports or regulated personal data. Send sanitized samples and your desired schema before ordering.
Technology:
Excel
•
Python
FAQ
Can you handle a scanned PDF or handwriting?
Not in this offer. Text-PDF suitability and one layout are checked before accepting scope. OCR and handwriting require a different scope.
Do you silently drop duplicates or repair guessed values?
No. Exact duplicates are logged, conflicts are separated, and invalid values keep their source references. Counts are reconciled.
Do you use AI?
Yes. AI assists implementation, research and drafting. Deliverables are checked against the agreed sources and acceptance tests. No unsupported facts or results are invented.
What is a revision?
A consolidated correction within the agreed inputs and scope. New websites, formats, systems, criteria or outputs require a separate scope. The selected package states the number of revision rounds.
Do you need passwords or sensitive data?
Do not send passwords, API secrets, payment-card details or regulated personal data. Provide authorized, sanitized samples. This offer does not require production account access.
Are the examples real client results?
No. They are self-initiated demonstrations. Fictional input data is labeled; public research and demo-site data carry source links. No client outcome or time saving is claimed.

