Your expense ledger
A receipt photographed on a phone
Somebody photographs the receipt on the way out. The vision model reads the total and the tax, and the expense lands in the shared ledger already categorised.
AI document processing
The invoice arrives as a photograph. It leaves as a database row.
Somebody in your office is reading a number off a PDF and typing it into a system. A vision model can read the same document and write the fields where they belong.
- Reads photographs, not just PDFs
- Flags what it is unsure of
A PDFFrom a supplier
A photographTaken on a phone
Read by a vision modelThe whole page
Fields checkedHow sure is it
Your databaseRows, not text
Flagged for a personThe unsure ones
What intelligent document processing is
Intelligent document processing, often shortened to IDP, reads a document the way a person does and writes what it finds into a system. A vision model looks at the whole page rather than matching a stored template, so a supplier changing their invoice layout does not break anything. The output is structured rows or JSON, rather than the wall of recovered text older tools produced.
The typing nobody costed
Documents arrive in whatever shape the sender chose. Somebody opens each one, finds four or five numbers on it, and types them into your system. It is slow, it is where the errors come from, and it scales only by hiring.
- 01
Every supplier has their own layout
The total sits in a different place on each invoice. A person absorbs that instantly.
- 02
The errors surface much later
A digit typed wrong reads as a normal number. It becomes a reconciliation problem a month later, when nobody remembers which document it came off.
- 03
The backlog only ever grows
Paperwork arrives faster on a busy week, which is exactly the week nobody has an afternoon to sit and key it in.
Beyond template based OCR
- 01
Whatever shape it arrives in
A PDF, or a photograph somebody took on a phone. The same pipeline handles all of them, because the model is reading the page rather than matching a layout.
- 02
Vision models, not character matching
Claude and GPT read a document with its structure intact, so a total is understood as a total. Older OCR returned characters and left the meaning to you.
- 03
Straight into your database
Fields land as rows in PostgreSQL or MySQL, or go out as JSON to whatever system wants them. Nothing waits in a folder for somebody to process.
How the first three weeks run
- Week 1
01We look at your actual documents
Two days with your team, and a stack of the paperwork you actually receive each week. The awkward ones matter more than the tidy ones.
- End of week 2
02You get a costed plan
The plan says which document types to take first, and what that saves every month. You decide whether it goes ahead.
- From week 3
03It runs on one document type
The first pipeline goes live on one document type. Others follow once the extraction holds up on real post.
Template OCR against AI document processing
Most businesses tried OCR once and gave up on it. The tool was doing something narrower than the job.
| Measure | Template OCR | AI document processing |
|---|---|---|
| A layout it has not seen | Fails, or returns the wrong field | Reads it from context like a person |
| A new supplier | Somebody maps a new template | Nothing to configure |
| Photographs and poor scans | Garbled characters | Recovers most of it from context |
| What comes out | A dump of plain text | Named fields, ready for a database |
| When it is unsure | Returns it wrong, silently | Flags the field and asks |
Document automation in practice
Three places where paper turns into data. In each of them the document was already arriving and somebody was already typing it.
Your stock records
Line items off a delivery note
A supplier's delivery note arrives as a scan. Item codes and unit prices come off it as rows, and nobody checks them against the order by eye.
Your contract archive
Dates and parties out of an agreement
Signed agreements arrive as PDFs and go straight into a folder that nobody can search. The dates and the party names are extracted and indexed, so a renewal is findable.
Where your documents go
A document is more sensitive than most data a business holds, because it carries everything at once. Where it is processed is decided before anything is built.
- Hosted, retention off
- The usual route. Documents are processed and nothing is kept.
- Or inside your own network
- An open weight vision model on your own hardware.
- Uncertainty is visible
- Low confidence fields are flagged rather than quietly filled in.
What the pipeline is built from
We fit the extraction into the systems you already run. Nothing on this list is a requirement, and the work goes ahead against whatever your software was built on.
- The models that read
- Vision modelsReading scans and photographsClaudeUnderstanding a page's structureGPTExtraction and classification
- Where the fields land
- PostgreSQLRecords and reportingMySQLIf that is what you runpgvectorFinding a document again later
- How it runs
- PythonExtraction and checkingn8nWhat happens when post arrivesDockerSame everywhere it runs
What people sayNot our words.
Not our words.
Theirs.
Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.
Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them
These reviews are for Appkodes, our software product division.
A Joysale client on the product and the service
He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
An Airfinch client, filmed after his written review
Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.
A second Joysale client on the same product
Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.
Trustpilot
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.
Juan VásquezSep 2025Trustpilot
Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.
Global SoftwinMay 2025Trustpilot
Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.
WassimApr 2025Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025Trustpilot
I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.
Яша ФирузApr 2025Trustpilot
It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!
Prem SharmaApr 2025Trustpilot
I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
Fast Fiber NetworksApr 2025Trustpilot
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
BaderApr 2025Trustpilot
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.
Vannala RajuApr 2025Trustpilot
Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.
Ahmed NhariApr 2024Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Trustpilot
Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.
Anu JosephJul 2023Trustpilot
Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!
Joely CineasJul 2023Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023Trustpilot
I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.
JohnFeb 2023Trustpilot
I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.
Zack GizawDec 202216 of 29 reviews, plus 4 videos
Businesses we have built for
Frequently asked questions
How does it handle blurry scans or handwriting?
Better than older tools, because it reads the context rather than the letter shapes alone. A vision model that can see the whole page infers a smudged digit from the arithmetic around it, the way a person would. Anything it is unsure of gets flagged rather than guessed.
What format does the extracted data come out in?
Whatever your systems take. Rows in PostgreSQL or MySQL, or JSON over an API. The shape is agreed in week two, because it is easier to match your schema than to make you match ours.
Are our documents stored on somebody else's servers?
Not if you do not want them to be. The usual route is a hosted model with retention switched off, so documents are processed and nothing is kept. Where the paperwork cannot leave your network at all, an open weight vision model runs on your own hardware instead.
What is intelligent document processing IDP?
It is reading a document with a model that understands layout, then writing what it found into a system. The IDP part is what separates it from plain OCR, which returns the text and then stops. One of them gives you characters, and the other gives you a field with a name on it.
Do you do custom OCR AI development?
That is what this service is. The build is a pipeline around a vision model rather than a licence for somebody's OCR product. That is why it fits the documents you actually receive.
Do you do automated invoice extraction AI?
It is the most common first job on this service. Invoices repeat, they carry numbers somebody is retyping, and every supplier formats them differently, which is exactly where a template based tool falls over.
Do we need to change how documents reach us?
No. Post keeps arriving in the inbox it already arrives in, and the pipeline reads from there. Changing how your suppliers send things is a project of its own and not one worth running first.
Next stepLet AI do the repetitive
Let AI do the repetitive
half of the job.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
