An invoice, form or emailed order can contain the information your team needs while still requiring repetitive entry. EidenTech can scope document processing that identifies relevant fields, validates them against business rules and prepares structured records for the next step. We distinguish extraction from approval so the application can assist the team without silently committing uncertain or incomplete information.
How we approach your project
Classify the documents and define useful fields
We begin with representative, appropriately shared samples and the destination record your team needs. A purchase order, invoice and delivery note may contain similar numbers with different meanings. The scope defines supported formats, document classes, required fields and the unit or currency associated with each value. Scanned pages, tables, handwritten notes and attachments introduce different processing requirements. We identify unsupported or unreadable input early and decide how the team handles it. The first release can focus on a narrow document family instead of claiming to interpret every business document.
Separate extraction from validation
Reading a value does not establish that it is correct for the workflow. We apply checks such as required identifiers, known supplier references, plausible dates and agreement between relevant totals. The application can retain source text or page references so a reviewer can compare an extracted field with its origin. Missing values remain missing rather than becoming model guesses. When checks fail or fields conflict, the document enters a review queue with a reason. A valid-looking output still receives the approval needed before it affects accounting, orders or another consequential process.
Connect records without repeating business actions
After validation, the system can prepare an import, create a draft or send approved fields through a supported API. We define document identifiers, duplicate handling and the relationship between a source file and its resulting record. An attachment resent by email should not automatically create a second order. If an external save times out, the application needs a way to inspect the outcome before retrying. Access to stored files, extracted fields and operational logs is scoped with the business owner, and private document contents remain separate from general website analytics.
Evaluate the documents your team actually receives
Testing covers expected layouts and challenging examples: missing pages, poor scans, repeated attachments, different number formats and inconsistent values. We review field-level correctness and the final destination outcome, not only whether the parser returned structured data. The operating plan explains who corrects errors, how those corrections influence future changes and when an updated document format needs attention. EidenTech’s freight project includes emailed orders and remains in development. It is relevant workflow context, while any new document automation receives its own samples, rules and acceptance criteria.
What we can deliver
We agree the requirements and responsibilities before development begins. Your project scope can include:
- A document and field specification with supported formats and explicit unsupported cases.
- Extraction and validation logic with source context and reviewable exceptions.
- A draft, import or approved API handoff with defined duplicate and retry behaviour.
- Representative document evaluation, access responsibilities and an operating guide.
Technology choices for your requirements
The stack follows your integrations, operating model, and maintenance needs. These are options to review during discovery, rather than a fixed stack promised for every project.
- Document parsing and optical character recognition where needed
- Structured extraction through suitable model or parsing APIs
- Deterministic field rules and source-linked review interfaces
- Server-side file storage and supported business-system connections
Planning questions, answered
Can you process scanned documents as well as digital files?
Yes, we can evaluate scanned and digital samples and scope the appropriate reading approach. Image quality, handwriting, layout and language affect what needs review. Representative examples establish supported cases and the acceptance conditions for the first release.
Can extracted fields go straight into our business software?
Yes, through a supported import or API where available. We define validation and approval before the handoff, along with required destination fields. A system that requires financial or operational review can receive drafts rather than final committed records.
How do we handle uncertain or missing fields?
The application can flag the field, retain useful source evidence and route the document to a reviewer. The review screen should explain the issue and support correction. We avoid treating an inferred value as confirmed source information.
How is document accuracy assessed?
We evaluate agreed fields against reviewed sample documents and inspect the downstream record. The sample set includes relevant difficult cases, not only clean templates. Launch acceptance and future checks are specific to your document types and the consequences of errors.
Tell us what needs to work better.
Share your idea, existing workflow, and the outcome you need. We will help shape a practical starting point.
Start a project conversation ↗Read our website, chatbot, and product planning guides →