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Bank check

Reliable and customizable AI-powered OCR software for all your bank checks

Koncile's AI OCR, a solution for extracting data from Bank Checks, powered by AI, finally reliable, customizable and available as an API.

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Case study
Case study
Case study
Case study

OCR extraction tailored for bank checks

Koncile’s OCR for bank checks is designed to efficiently organize and process check-related information by extracting key data such as the amount, account holder, check number, and issuing bank.

It also helps detect inconsistencies or errors across large volumes of documents.

Simply upload scanned checks in image or PDF format into the Koncile OCR software to generate structured data in spreadsheet, JSON or database formats, ready for seamless integration into your systems.

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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 check processing

Koncile’s Optical Character Recognition (OCR) software streamlines the processing of bank checks for accountants, payment managers, and finance teams.

It goes beyond simple text reading thanks to intelligent document processing by cross-checking the extracted data against your internal reference systems to ensure consistency.

This automated verification enhances control accuracy, speeds up reconciliation processes, and strengthens the overall security of payment management.

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".

Place of issue

Text New York, NY
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 checks?

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.

Experience next-generation data extraction

Start with a ready-to-use bank check template, test on a document, and scale

An OCR Solution Designed for Check Data Capture

1

Automatically extract key information from bank checks

Amount, check number, account holder, issuing bank, date and turn it into structured data.

2

From Bank Checks to a Structured Database

Simplify the management of payments and transactions by converting checks into usable, machine-readable data.

3

Multi-Format Processing

Easily process and standardize checks in various formats (images, PDFs, etc.).

4

Bank Check Parsing via API

Build a complete, searchable database integrated into your application and accessible via API to automate payment workflows.

5

Beyond OCR: Validation and verification of extracted fields

Is the check information accurate? Is the amount valid? Was the check issued by a verified bank? Are there duplicates or inconsistencies in your database? Streamline your check processing with smart, automated OCR.

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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Our latest ARTICLES

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All our ressources
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

OCR analyzes the bank check using computer vision algorithms to detect and read characters. Through natural language understanding (NLP), OCR can identify critical information. This process ensures accurate extraction of structured and unstructured data from the document.

Yes, you can extract specific information from a bank check, such as the amount, payee name, date, or account number. OCR can be set up to extract this data based on the sections or formats you are dealing with.

Yes, OCR is capable of processing printed or handwritten bank checks. If the document is handwritten, OCR uses advanced techniques to recognize handwritten characters and convert them into digital text, while ensuring the accuracy of the extracted data.

You can upload your bank checks in PDF, PNG, or JPEG format. These formats are compatible with our OCR technology, allowing accurate extraction of the information contained in the document. Consult the documentation for more details on accepted formats and the upload process.

The software is accessible via a powerful OCR API, with comprehensive documentation available. Plus, you can upload documents directly into the app and export the extracted data to XLSX, XLS, CSV, or JSON for seamless integration into your workflows.

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.