Turn Invoices and Scans Into Clean Data
Our intelligent document processing reads your invoices, forms, delivery notes and contracts, pulls out the fields you need and sends them to your systems. Anything it is unsure of goes to a person.
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Why your team still types data out of documents
Invoices, forms and order photos arrive every day, and someone copies each one into your system by hand. It is slow, a missed field is easy to overlook, and the work grows with the business.
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“Our team re-types every invoice into the accounts system.”
The reader pulls out the supplier, dates, line items and totals, and your team checks only what it flags.
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“One missed checkbox and the whole file is wrong.”
Every required field is on a list, and a field the reader cannot find or is unsure of goes to a person.
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“Orders come in as photos and PDFs, in every layout.”
The reader works from what each document says, so a new layout does not need a new template.
Invoices, forms and contracts, read field by field
We build readers for documents that arrive every day in the same few kinds, where every field has to be right. These are the jobs they do.
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Long real-estate transaction documents
For ViziDeal we are building a platform that reads US real-estate transaction documents and pulls out the required fields and checkboxes. So far it is about 95–96% accurate, as measured by the team. The client's target is 100%. In progress, not yet deployed.
ViziDeal case study (in progress) -
Invoices and bills
Supplier, invoice number, dates, line items and totals, read from PDFs and scans and matched to your accounts system.
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Order photos and forms
A photo or PDF of an order turned into order lines your store or stock and accounts system (ERP) can take, with unsure lines held for a person.
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Application and onboarding forms
Scanned or filled-in forms read field by field, with a person checking anything the reader is unsure of.
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Contracts and long reports
The terms, dates and parties your team needs, pulled from long documents into one short record.
Want each document to start a workflow? See AI workflow automation
A reader that hands your systems clean, checked rows
You get a working reader for your documents, a written list of every field it must capture, the tests that measure its accuracy, and a handover so your team can run it.
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A reader for your documents
It turns each PDF, scan or photo into clean rows your systems can use.
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A field list you sign off
Every field and checkbox it must capture, and where each one goes.
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A review step for your team
Fields the reader is unsure of wait for a person before they are used.
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Connections to your systems
The data goes into your ERP, accounts, CRM or database.
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A test pack of your real documents
Your own documents with the answers you expect, rerun after every change.
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Instructions and a handover for your team
The code in your own code repository, the documentation and a walkthrough.
Pilot-first
A first pilot: one document type, measured on your own files
Pilot-first: we start with a small pilot on your own data, priced up front, before any full build. We pick one document type, list every field it must capture, and measure the reader on your own documents before anything goes live.
- What the pilot builds
- A reader for one document type, the field list you sign off, and a review step for the fields it is unsure of.
- What you get
- Its accuracy on your own documents, field by field, and a clear view of what a full build would take.
How intelligent document processing works
Intelligent document processing reads a document the way a person would. A model looks at each page of a PDF, scan or photo, finds the fields you listed, such as dates, totals or checkboxes, and returns them as clean rows your systems can use. Each field is checked, and anything uncertain goes to a person before it reaches your systems.
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Document
A PDF, scan or photo arrives by email, upload or a shared folder.
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Reading
The reader finds each field on your list, page by page.
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Checks
Fields are checked against rules, such as totals that must add up.
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Your systems
The data goes into your ERP, accounts or CRM, or waits for review.
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Data
Your team works with clean data, and checks only what was flagged.
- Document A supplier's invoice arrives as a PDF by email.
- Reading The reader looks at each page and finds the fields on your list.
- Checks Totals add up; the supplier is one you know; one field is unclear.
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Your systems
Drafts the bill in your accounts with the supplier, lines and totals, and holds it for review. -
Your systems
Sends one field, the due date, to a person to check. - Data A person confirms the due date, and the bill goes into your accounts.
The reader never posts a bill on a guess: an unclear field waits for a person.
A team that measures accuracy before anything goes live
We measure a reader on your own documents before launch, connect it to the systems you already run, and stay with you after launch.
View our work
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Measured before it goes live
ViziDeal's platform is not deployed until it meets the client's accuracy target.
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Built around your systems
We connect the reader to the ERP, accounts, CRM or database you already run, instead of replacing them.
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Support after launch
We monitor the reader after launch, keep it updated and improve it as new models arrive.
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Hours that overlap yours
We work on India Standard Time (IST): 4.5 to 5.5 hours ahead of London and 9.5 to 10.5 ahead of New York.
Data you can trust before it reaches your systems
We agree with you what must be captured, measure accuracy on your own documents, and send unsure fields to a person. These are the safeguards on every reader we build.
On every document reader we build
- A signed-off list of every field and checkbox it must capture.
- Unsure or missing fields go to a person before the data is used.
- Accuracy measured on your own documents before launch, and after every change.
- Documents and data kept in the accounts you choose, with access by role.
Start small with one document type, then add the rest
We measure the reader on one document type from your own files, and add more types once the first has proved itself. Each step is priced up front.
The models and tools we build document processing with
Standard, widely used tools, so another team could take the code over. We choose the AI model per document, on accuracy, cost and where your documents are allowed to go. We build in your cloud, with the tools below.
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Models
OpenAI and Anthropic Claude, and open models on Ollama when documents have to stay on your servers.
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Anthropic Claude
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OpenAI
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Ollama
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Service
Python and FastAPI for the reader, its checks and the review step.
- Python
- FastAPI
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Data
PostgreSQL for the extracted data and the review queue.
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PostgreSQL
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Hosting
Your own cloud account, such as AWS, in your company's name.
- AWS
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Your systems
Your ERP, accounts, CRM, store or database, where the data is used.
Provis Technologies AI Integration services are phenomenal. We have been witnessing growth after the AI automation they have put into our business.
Send us the documents your team keeps re-typing.
Tell us which documents you handle and how accurate the data has to be. We will show you how we would test a reader on your own files.
Vivek SharmaCEO & Founder, Provis Technologies
Questions about intelligent document processing
What is intelligent document processing?
It is AI that reads documents such as invoices, forms and contracts and turns them into clean rows your systems can use. A model reads each page of a PDF, scan or photo, finds the fields you need, and passes them to your systems, with anything uncertain checked by a person first.
How is it different from OCR?
OCR turns an image into text, but it does not know which number is the total or which box is ticked. Document processing also understands the layout and the meaning. It finds each field you listed and checks it, so you get data your systems can use rather than a page of text.
What kinds of documents can it read?
PDFs, scans and phone photos: invoices, bills, delivery notes, order forms, applications and long contracts. Typed documents are the easiest. Handwriting, poor scans and unusual layouts are harder, so we test those on your own samples during the pilot before we promise anything.
How accurate will it be?
We cannot say until we test it on your documents, so we measure it in the pilot, field by field. For ViziDeal the team measures about 95–96% so far against a 100% target, and the platform is not deployed until it gets there. You decide the bar before launch.
What happens when the reader is unsure?
It does not guess. A field it cannot find, or is not confident about, goes to a review step where a person confirms it. Only checked data reaches your systems, and the fields people correct show us where the reader needs work.
Can it read photos of orders, such as WhatsApp images?
Yes, a photo can be read like a scan, and the order lines can become a draft order in your store or ERP. Photos vary more than PDFs, so we test them on your real samples during the pilot and send unclear lines to a person.
Will it work with our ERP or accounts system?
Yes. We connect the reader to the systems you already run, such as your ERP, accounts, CRM, store or database, so the data lands where your team works. We connect AI to the tools you have instead of replacing them.
Is our data kept private?
Where your documents go is your choice. With hosted models from OpenAI or Anthropic, they are processed by that provider. With open models we run on your own servers or cloud through Ollama, documents stay inside your network. We work only in the accounts you invite us into.
How much does document processing cost?
Three things drive the cost: how many document types you have, how many fields each holds, and how accurate the data must be. Tell us about your documents, and within two working days we come back with an approach, a rough timeline and a rough number.
How long does it take to build?
It depends on the documents and the accuracy you need. We start with one document type in a pilot, so you see real results on your own files before a full build. We agree the timeline at the discovery call.
Who owns the code and the data?
You do. The code goes into your own code repository, and the cloud account and the data are in your company's name. Our team joins as collaborators, and you can remove our access at any time.
What happens after launch?
We monitor accuracy, keep the reader updated and improve it as new models arrive. When a new document layout or type appears, we add it to the test pack first, then to the reader, so the old ones keep working.
Work with experts
Built for teams that are tired of re-typing documents
We build AI that reads your PDFs, scans and photos and sends the data to your systems, measured before it goes live.
Prefer to talk directly?
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Emailsales@provistechnologies.com
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WhatsApp+91 88755 82124
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UK phone+44 7862 126522
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Video callBook 30 minutes with Vivek Sharma
We're on IST: 4.5 to 5.5 hours ahead of London, 9.5 to 10.5 ahead of New York.
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The documents
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Your details
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Additional info
Tell us which documents you want read
Describe the documents, the fields you need from them, and where the data should go.
Prefer to talk directly?
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Emailsales@provistechnologies.com
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WhatsApp+91 88755 82124
-
UK phone+44 7862 126522
-
Video callBook 30 minutes with Vivek Sharma
We're on IST: 4.5 to 5.5 hours ahead of London, 9.5 to 10.5 ahead of New York.