PDF to Excel data extraction, without re-entry

Your data arrives as PDFs, your tools expect tables. In between, hours of re-entry. The ERHA pipeline reads your documents, extracts the fields and tables, checks consistency and returns a clean Excel file.

xlsx·pdf

supported formats, scanned documents included

0

re-entry: data is typed once, ever

100%

of values traced back to the source document

PDFs are made to be read, not to be used

A PDF presents information, it doesn't structure it: every supplier, lab and tool produces its own layout. So someone reopens each document, hunts for the right values and copies them into a table. It's slow, and every copy is a chance for error.

The ERHA pipeline works the other way round: it reads the document the way a person would, understands its structure, and returns the data in the format your tools expect. Doubtful values are flagged instead of guessed, and every figure stays linked to its source.

What the pipeline can extract

Multi-page tables

Tables spread across several pages come out as one clean block.

Key fields

Dates, amounts, references, batch numbers: the values your tracking runs on.

Scanned documents

OCR takes over when the PDF is just an image, annotations included.

Heterogeneous formats

Every issuer has its own layout: the pipeline maps them to your structure.

Document batches

Dozens of files dropped at once, processed and consolidated together.

Consistency checks

Totals, duplicates, outliers: verified before delivery.

From PDF drop to Excel file

The same metered, traceable pipeline as every ERHA use case, applied to your documents.

  1. 001

    Ingest

    You drop your PDFs into your dedicated space.

  2. 002

    Analyse

    The pipeline maps the structure of each document.

  3. 003

    Extract

    Fields and tables are extracted into your format.

  4. 004

    Verify

    Consistency checked, doubtful values flagged.

  5. 005

    Deliver

    A clean Excel file, every value linked to its source.

Frequently asked questions

Which document types can be processed?

Invoices, delivery notes, analysis reports, contracts, statements: any PDF, native or scanned, whose data you actually use. If someone re-types its content today, it can probably be processed.

What happens if a value is misread?

It is never guessed. The pipeline re-checks it, then flags it for human validation with a link to the relevant area of the document. You correct one value, not the whole file.

How do we get the extracted data back?

As a structured Excel file matching your template, downloadable from your space. Every run shows its real cost, with no subscription.

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