Document parsing for property and lettings

Referencing a tenant or reconciling a landlord statement means reading a lot of pages to find a few numbers. ParseForMe turns bank statements and utility bills into structured rows, so income checks and rent reconciliation start from a table you can filter rather than a stack of PDFs.

Covers the 3 document types this trade actually runs on.

Where the time goes

Where the hours go in Property & lettings

Three months of statements read line by line to verify income.

Checking that an applicant can afford the rent means reading every page they send, often as photos taken on a phone. ParseForMe returns each transaction as a row with its date, description, amount and running balance — so income is something you sort and total rather than something you read.

How bank statement parsing works

How it works

What the work looks like once it is automated

Upload the applicant or property pack

Statements and bills together; each document is classified and read against the right schema.

Filter instead of reading

Transactions come back as rows, so a regular-income check is a sort and a filter rather than three months of page-turning.

Export to your referencing sheet

Your columns, your order — mapped once and reused for every future applicant.

A template shaped for this work

Questions

Frequently asked questions

Can it read a photo of a statement rather than a PDF?

Yes. Photos and scans go through the same pipeline; a flat, well-lit photo reads best, and anything uncertain is flagged for you to check.

Does it decide whether an applicant qualifies?

No, and deliberately so. ParseForMe structures the document — the affordability judgement stays with you, made against data you can see and correct.

How long is applicant data kept?

As long as you choose. Retention is configurable, documents can be deleted on demand, and the original upload never survives ingest.

Start with the pile on your desk

No card · Review every field · One token per parsed page