AI Document Processing Manchester
AI document processing reads the paperwork your team currently types in by hand, such as invoices, purchase orders, delivery notes, application forms, CVs and contracts, and puts the key fields straight into your accounting, ERP or CRM. We build it for Manchester businesses drowning in PDFs and scans, with staff checking anything uncertain.
- Since 2003trading in Manchester
- 20,000+UK businesses helped
- Collect M8Unit 3, 116 Bury New Road
- A personchecks every file
Automation and agents
Every job is a fixed quote, agreed in writing before any work starts. No obligation.
- AI AutomationAI 501Quote
- AI AgentsAI 502Quote
- AI Lead QualificationAI 503Quote
- AI IntegrationAI 504Quote
How documents become usable data
Older scanning tools relied on a template per supplier layout, so every new supplier or redesigned invoice meant more set-up.
Modern processing works in two stages. Optical character recognition (OCR) turns the image or PDF into text, then a language model reads that text like a person would and finds the supplier name, invoice number, date, line items, VAT and total wherever they sit on the page.
It is not infallible, and a misread total matters in accounts. So every extracted field comes with a confidence score, and anything below the threshold you set goes to a person to check before it is posted. Simple checks run too, such as whether line items add up to the total. If staff need to search documents rather than extract data, see our AI knowledge assistant page.
Who it suits
It pays off wherever the same kinds of document arrive in volume and someone retypes them.
- Accounts teams entering supplier invoices into Xero, QuickBooks or Sage.
- Wholesalers and manufacturers turning customer purchase orders into sales orders.
- Recruitment agencies pulling skills and work history out of CVs into their database.
- Letting agents and insurers processing standard application or claim forms.
Setting it up
Collect a sample
We gather a few hundred real documents covering your usual suppliers, formats and the worst scans you receive.
Define the fields
We agree exactly which fields to capture, their formats and where each one goes in your system.
Measure accuracy first
We compare every extracted field in the sample with the correct value, so you see real accuracy figures before going live.
Set review thresholds
Using those results, we decide which fields post automatically and which always need a person to check.
Connect and go live
We link the inbox or upload folder to your accounting or ERP system and watch the first weeks closely.
What you get
- Agreed fields written straight into your software
- A review screen where staff check and correct uncertain fields
- Confidence thresholds you can adjust per field
- An accuracy report based on your own sample documents
- An audit trail linking every record back to its original file
Handwriting, bad scans and other awkward paperwork
Real paperwork is messy: delivery notes photographed at an angle, forms with handwriting in the margins. We test with exactly these documents, not clean examples.
Printed text reads reliably and neat handwriting usually does, but scrawl, faded thermal receipts and stamps over text cause errors. We route those fields to a person and can tell the sender when a document is unreadable.
Every processed document keeps an audit trail: the original file, what was extracted, the confidence of each field, who checked it and what they changed. That matters for your accountant and for disputes. We set retention periods so nothing is kept longer than needed, in line with published data protection guidance; take your own legal advice on the periods that apply.
Once data is clean and structured, AI automation can take the next steps, such as matching invoices to purchase orders or flagging unusual amounts.
Frequently asked questions
How accurate is AI at reading invoices?
It depends on your documents, which is why we measure it on a sample of your own before going live. Clean PDFs usually read very well, while poor scans and handwriting read less reliably. Fields below the confidence threshold always go to a person.
Which accounting systems can it post to?
Xero, QuickBooks, Sage and most ERP systems with an API. Without an API, we produce a CSV in your software’s import format, so staff upload one checked file instead of typing every line.
Can it handle documents in other languages?
Often, yes. Language models read many European and Asian languages, and OCR supports most common scripts. We include foreign-language documents in the test sample so you see their accuracy separately before relying on them.
Where are our documents stored and processed?
With providers we agree with you before building, and we check their current data terms, including whether documents are used for training. Files can stay in your own cloud storage, with only the text needed for extraction sent to the model.
Do our staff still need to be involved?
Yes, but far less. Instead of typing every document, they check the fields the system is unsure about and approve exceptions. As accuracy figures build up, you can let fields that are consistently right post automatically.
Related services
- AI services: every AI service our Manchester team offers.
- AI agents: acting on extracted data across several systems.
- AI integration: connecting language models to your existing software.
- AI data insights: asking questions of the data once it is captured.
- AI readiness audit: working out which paperwork is worth automating first.
Send us a handful of typical documents with sensitive details removed and we will prepare a fixed quote for document processing, or ring 0161 315 1151, or WhatsApp 07737 902425.
Ready to get started?
Tell us what you need and we'll come back with an honest, fixed-price quote — no obligation.