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Bank Account Details

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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Case study
Case study
Case study
Case study

OCR extraction tailored for bank account details

Koncile's OCR solution for Bank Account Details is tailored for KYC 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.

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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.

Comprehensive field extraction with our OCR for 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).

Full IBAN

IBAN GB29 NWBK 6016 1331 9268 19 International Bank Account Number with spaces.
Add your custom fields
Edit the AI instructions
Discover the full extraction template
Discover the full extraction template

Why choose Koncile OCR for your bank account details?

99% reliability

Unmatched accuracy in accounting data processing

With a success rate above 99%, our OCR engine delivers exceptional accuracy in extracting key data from accounting documents.

Every piece of information: amounts, dates, invoice numbers, or accounting references is reliably captured.

Thanks to our built-in anomaly detection system, errors, inconsistencies, or signs of document fraud detection are flagged early, enabling automated quality control and faster decision-making.

OCR accounting integration

Integrated with your tools

Koncile integrates perfectly into your digital ecosystem: connection via API, automatic import from your emails or direct synchronization with your ERP.

Easily import documents, trigger automated extractions, and retrieve structured data where you need it.

Whether you use Excel, Outlook, SAP or another business tool, Koncile adapts to your workflow to simplify document management and maximize your productivity gains.

Try next-generation data extraction

Start with a ready-to-use Bank Account Details model, test it on a document and scale

An OCR solution designed to extract your bank account details

1

OCR parser for bank account details

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

2

AI-powered tool

Each field works as a prompt that can be modified

3

Intelligent categorization

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

4

Anomaly detection

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

5

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}

Full documentation
Full documentation
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Claim my API key
Security and privacy

An AI OCR tool built for regulated environments

Founded by a former lawyer, Koncile was designed with compliance and data protection at its core. We are independently audited under SOC 2 and compliant with GDPR and HIPAA requirements.

Review our security docs
Review our security docs

Talk to an expert who knows your industry.

  • Get an external expert opinion on your specific use case
  • Benchmarks and results from hundreds of clients in your industry
  • Help activating the right Koncile features for your workflow
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All our ressources
Procurement

Receipt

Merchant details, purchase details, quantities, prices

Procurement

Pricing grid

Pricing grid or framework agreements

Procurement

Purchase order

Contact details and product details, quantities, and prices

Procurement

Invoice

Supplier details and line-by-line details

Procurement

Quotes

Supplier information and line-by-line details

Procurement

Product catalog

Product name, reference, category, price, stock, stock, description, visuals: extracted by AI, ready to integrate your digital catalog.

Procurement

Delivery note

Delivered address, supplier, delivered products, and quantities

FAQ

All your questions
on Koncile

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.

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.

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.

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.

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.

Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.

Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on our pricing page.

In each extraction template, you will find:

  • General fields: These are pieces of information that appear only once in each document (e.g., the invoice number or the invoice date).
  • Repeated fields: These are pieces of information that appear multiple times in a document, such as item descriptions or prices in each line of a quote. Use repeated fields for extracting tables and charts from your documents.