AI-powered OCR
to extract and control
bank account details

Koncile's OCR AI is a solution to extract and validate Bank Account Details, powered by AI, offering a reliable, customizable, and API-accessible solution.

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Examples of bank account details Examples of bank account details

The best teams work with Koncile

Automate data capture from bank account statements

Koncile's OCR solution for Bank Account Details is tailored for KYC (Know Your Customer) verifications, client onboarding, and to ensure regulatory compliance.

Upload Bank Account Details in image or PDF format into the Koncile OCR software, and obtain structured data in JSON or machine-readable database format.

Illustration diagram of the extraction model for bank account details
Image de Pierre Laprée, CEO de Spend HQ.

Pierre Laprée

Founder & CPO at SpendHQ

Koncile automates the intelligent extraction of contractual data. Despite the complexity of our clients’ contracts, the tool ensures quality and speed, saving us valuable time.

What information is captured in bank account details?

Bank Account Details contain standardized information such as the IBAN, bank domiciliation, and account number. With the OCR tool, you can capture all of this information and convert it to your desired format (XLS, XLSX, CSV, or JSON).

You can even go further by performing automatic IBAN validation to detect fraud, duplicates, or input errors. IBAN numbers will be automatically verified by the Koncile parser using the MOD97 algorithm.

Nom

Type

Exemple

Instruction

Validité

Text

Oui

Vérifie que le RIB est bien constitué des éléments suivants :
- Code banque (5 chiffres)
- Code guichet (5 chiffres)
- Numéro de compte (11 caractères alphanumériques)
- Clé RIB (2 chiffres)
Si les RIB est bien constitué de ces éléments, choisis la valeur "Oui". Sinon choisis la valeur "Non".

Account holder's identity

Text John Doe Name, first name, or company name (for a business account).

Bank name

Text Riverstone Bank

Bank branch

Text Branch 12 Los Angeles

Bank code

Code 20041 5-digit number specific to the banking institution.

Branch code

Code 00001 5-digit number specific to the bank branch where the account was opened.

Account number

Code 0284894Y020 Unique identifier for the bank account (up to 11 characters).

RIB key

Code 27 2-digit verification code.

Full IBAN

IBAN GB29 NWBK 6016 1331 9268 19 International Bank Account Number with spaces.

BIC

Code CHASUS33XXX Bank Identifier Code. Example : "BNPAFRPPXXX”

Country of issue

Date USA Country of the account holder determined from the Country code.

IBAN validity

Boolean Yes Verify that the IBAN consists of the following elements: - Bank code (5 digits) - Branch code (5 digits) - Account number (11 alphanumeric characters) - key (2 digits) If the IBAN is properly composed of these elements, select the value "Yes." Otherwise, select the value "No."
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Add any extraction field

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Edit AI instructions

Why Koncile

Tailor the extraction to your needs

Easily add or modify extraction fields in the Koncile parser interface using natural language.

Champ à extraire : référence produit.

Set up Koncile in just one day

Koncile is pre-trained and can be deployed in a single day for all your extraction use cases.

No need for training on large volumes of your data.

Vignette de vidéo extraction de document.

Connect Koncile to your tools

Capture data in a structured format such as JSON, XLSX, CSV, or others.

Connect your application via our API. Access the full documentation here.

Liste des formats de document.
Logo de Koncile.

Try Koncile now

Create your extraction template, test it on a sample document, and scale effortlessly

An OCR solution designed for data extraction

OCR parser for bank account details

This software enables scanning & recognition of fields, transforming Bank Account Details into usable data

AI-powered tool

Each field works as a prompt that can be modified

Intelligent categorization

Direct each document type to the correct category to extract specific data

Anomaly detection

Control the consistency of extracted data with large-scale document processing

Cross-referencing with databases

Koncile automatically cross-references the extracted data with a database using AI-powered semantic matching

The API to streamline your document management

status

string

Document status can be DONE, DUPLICATE, or IN PROGRESS

document_id

integer

Unique identifier assigned to each document

general_fields

objects

Fields that appear once per document. Returns in the format: {field_name: extracted_value}

line_fields

objects

Repeated fields extracted in bulk for each row or table. Returns in the format: {field_name: extracted_value}

Request

curl api.koncile.ai/tasks/{task_id}/ \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY"
response = requests.get(f"{api_url}/tasks/{task_id}/",
headers={"accept": "application/json", "Authorization":{"Bearer{api_key}"})

Response

{
  "status": DONE,
  "document_id": ID,
  "General_fields":
    {
      "Date" : "05/08/20222",
      "Price" : "23$",
      "Supplier name" : "Koncile",
    },
  "Line_fields":
    {
      "Date" : ["05/08/2022", "05/09/2022", "03/02/2023"],
      "Price" : ["23$", "12$", "5$"],
    }
}

Security and privacy by design

No training on your data

Fully encrypted application

Secured data storage

GDPR compliant

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Any question?

Contact us at contact@koncile.ai, check out our documentation, or book a demo.

How does the OCR extract information from a bank account statement (RIB)?

The OCR analyzes the RIB document using computer vision algorithms to identify the characters, and then natural language processing (NLP) is used to extract and interpret key information such as the IBAN code, BIC code, bank name, and account holder details. This process ensures fast and accurate extraction of banking data.

Can the OCR process bank account statements (RIB) from different banks?

Yes, our OCR technology is capable of processing bank account statements (RIB) from different banks, whether they are in standard or specific formats.
Thanks to artificial intelligence and machine learning, the OCR can identify and extract relevant data, regardless of the organization or layout of the RIB.

Can I extract specific information from a bank account statement, such as the IBAN or BIC code?

Yes, you can accurately extract specific information from a RIB, such as the IBAN code, the BIC code, as well as other details like the account holder's name and bank details. Our technology is designed to reliably recognize these elements, even in complex documents.

Can the OCR handle printed or handwritten bank account statements?

Yes, Koncile's OCR can handle both printed and handwritten bank account statements.
By using advanced character recognition and language understanding technologies, we can accurately extract information from bank account statements, whether they are printed or handwritten.

What format should I upload my bank account statement in for OCR analysis?

For OCR analysis of your bank account statement, you can upload your documents in PDF, PNG, or JPEG format.
These formats are fully compatible to ensure accurate extraction of essential banking information.
You can refer to the documentation for more details on supported formats and the upload process.

Can I extract a specific field?

Absolutely! Koncile’s OCR extraction service offers fully customizable fields. Our pre-built models are just a starting point—you can modify and add your own fields to meet your specific needs.

How does Koncile integrate with my existing tools and software?

Koncile is accessible via a powerful API, with full documentation available here. Additionally, you can upload documents directly in the app and download extracted data in XLSX, XLS, CSV or JSON formats for seamless integration into your workflows.

I need to parse a document that’s very specific to my industry. 
Can Koncile handle it?

Of course! Start by exploring our library of pre-built templates, covering a wide range of industries. If you don’t find one that fits your needs, you can easily create your own custom model.

What are “General Fields” and “Repeated Fields”?

In each extraction template, you’ll find:

General fields: These are pieces of information that appear only once per document (e.g., an invoice number or date).

Repeated fields: These are elements that appear multiple times within a document, such as item descriptions or prices in each line of a quote. Use repeated fields to extract tables and structured data from your documents.

What file formats does Koncile support?

Koncile allows you to import PDF files and all common image formats, including PNG and JPEG.

What is Koncile’s pricing structure?

Koncile offers three plans, including enterprise options for handling large data volumes. Check out our pricing on the dedicated page in our documentation.