Skip to content

Blog · Published · Updated

Small Local Models for Accounting Document Classification

Short answer

A small local model recognises the type of a document, for example an invoice or a delivery confirmation, splits a mixed PDF into parts and routes each to the right queue. It stops before posting and tax assessment. Uncertain pages go to a person. With 3,000 documents a month at a minute and a half each, a €3,000 app with a GPU server pays back in 1.4 months.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Accounting documents and AI: statistics 2026

1.4 mo.

payback of a €3,000 app at 3,000 documents a month: €2,618 of manual routing today, €476 with checking and a GPU server. Scenario.

Figures checked: 22 October 2026

One file, two kinds of document

A supplier sends a four-page PDF. Pages 1 and 2 carry the heading „Invoice”, and pages 3 and 4 are a „Delivery confirmation” signed by the recipient. Invoices go to accounting review, and confirmations to the purchasing queue. If the system labels the whole file „invoice”, the delivery confirmation lands in accounting and the person who checks deliveries never sees it.

A useful result sets the boundary between pages 2 and 3, labels both parts and routes each to its queue. When the heading on page 3 is blurred, the system reports the uncertainty and passes those pages to manual review, noting which pages the problem concerns.

Four stages, each assessed separately
  1. 01ReadingOCR turns the page image into text
  2. 02Splittingthe system sets the boundaries of documents in the file
  3. 03Typethe model chooses a label from the approved list
  4. 04Queuea rule routes the part to a team or to manual review

Where accounting document classification ends

The model recognises the type, and the workflow routes the document to the agreed queue. The scope ends before tax assessment, posting and the accounting entry. The company approves the list of types, the routing rules and the person for uncertain cases, and the model does not add categories by guesswork. In Poland, invoices have arrived through KSeF as structured data since 1 February 2026, and across the EU, cross-border B2B sales move to digital reporting based on e-invoices from 1 July 2030. Classification therefore makes most sense for the rest of the correspondence: confirmations, reports, contracts and attachments.

The acceptance test
  • Documents from every agreed category
  • Mixed files and unknown attachments
  • Pages with an illegible passage
  • Results kept apart: wrong label, wrong boundary, wrong queue, handed to a person

An average accuracy over the whole set hides a frequent error on one type of document. Until the test is passed, do not extend the workflow to further types.

What classification costs locally and through an API

Scenario: 3,000 documents a month
Today: 3,000 × 1.5 min
75 h × €34.90 = €2,618
Checking uncertain cases, 10% of today's time
€262
Locally: Hetzner GEX45 server
€214
Through the API: Claude Sonnet 5.5
€19
Saving locally
€2,142 a month

Payback of €3,000

1.4 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Price of the GEX45 with 24 GB of GPU memory from Hetzner's website on 22 October 2026, without the one-off setup fee of €209. API model: 3,000 input tokens and 100 output tokens per document at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

A local model does not mean the whole flow stays on site. Microsoft describes Foundry Local as processing prompts and answers on the device, and the model files are downloaded on first use. Check the whole flow: where OCR runs, where temporary files go, what the logs record and which systems receive the document. Run the trial on the hardware that will later do the work, with a batch from the end of the month.

When a simpler solution is enough

If each PDF contains one document with a fixed layout, rules or a ready module in the document workflow system are enough. First check whether your current system already recognises types and routes them to the right people. A local model is worth comparing when varied layouts and content keep rules from recognising documents reliably. When the company allows a hosted service, compare it with the local option on the same documents and under the same access rules, then choose the cheaper option that passes the test.

We build classification as part of private LLMs, and the invoice workflow is described in cost invoice automation. For the free process review, bring a mixed PDF you are allowed to show, the list of types and queues, and the number of documents in a normal and a peak month.

Worked example · Scenario

How we count the payback: cost invoices

We run the same count for your documents in the free process review.

€1,745

a month for coding 1,000 cost invoices by hand

Payback: 2 mo.

3 minutes per invoice and checking in 15% of the old time are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. We measured the model cost of €0.004 per invoice in our invoice coding system, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

A model on your server or in the cloud in the EU, proven on your tasks.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Private AI models

A model on your server or in the cloud in the EU, proven on your tasks.

We select the model and equipment for the task, run it and measure the quality using your examples before you buy anything. The data stays in the company or in the cloud in the EU. We price implementation, hardware or hosting and support separately after analysis.

View private AI models →
model on your server or in the cloud in the EU
quoted after the review
same work in application with EU cloud model
from €3,000
task, data and equipment analysis
€0

Questions

  • Can a small local model classify accounting documents?

    Yes, when the company approves the list of types and queues, and the test covers mixed files, unknown attachments and illegible pages. The model recognises the type, and rules route the document to a queue.

  • What about a PDF that contains two documents?

    The system sets the page boundary, for example an invoice on pages 1 and 2 and a delivery confirmation on 3 and 4, and routes each part separately. An uncertain boundary goes to manual review.

  • How much does local document classification cost?

    At Syntalith the app costs from €3,000 net plus a GPU server, for example a Hetzner GEX45 at €214 a month. Through the API, classifying 3,000 documents would cost about €19 a month.

  • When are rules enough?

    When each PDF contains one document with a fixed layout. First check whether your current document workflow system already recognises types and routes them to the right people.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.