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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The best teams work with Koncile
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.
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.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR for your bank checks?
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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 or inconsistencies are flagged early, enabling automated quality control and faster decision-making.
Integrated with your tools for accounting documents
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
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
An OCR Solution Designed for Check Data Capture
Automatically extract key information from bank checks
Amount, check number, account holder, issuing bank, date and turn it into structured data.
From Bank Checks to a Structured Database
Simplify the management of payments and transactions by converting checks into usable, machine-readable data.
Multi-Format Processing
Easily process and standardize checks in various formats (images, PDFs, etc.).
Bank Check Parsing via API
Build a complete, searchable database integrated into your application and accessible via API to automate payment workflows.
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 OCR API to automate the management of bank checks
status
string
Document status, which can be DONE, DUPLICATE, or IN PROGRESS.
document_id
integar
Unique number assigned to each invoice
general_fields
objects
General fields that appear only once in each extracted document. Returned in the format: {field name: extracted value}
line_fields
objects
Repeated fields extracted in bulk for each line or table. Returned in the format: {field name: extracted value}
status
string
Statut du document qui peut être DONE, DUPLICATE, IN PROGRESS.
document_id
integer
Numéro unique attribué pour chaque document
general_fields
objects
Champs généraux apparaissant une seule fois dans chaque document extrait. Retour au format : {nom du champ: valeur extraite}
line_fields
objects
Champs répétés extraits en bloc pour chaque ligne ou chaque tableau. Retour au format : {nom du champ: valeur extraite}
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 | DUPLICATE | IN PROGRESS | FAILED,
"document_id": ID,
"document_name": "name",
"status_message": "",
"General_fields":
{
"Date" : {"value": "05/08/2022", "confidence_score": 0.99},
"Price" : {"value": "$23", "confidence_score": 0.98}
}
,
"Line_fields":
{
"Date" : [{"value": "05/08", "confidence_score": 0.97}, {"value" : "05/08", "confidence_score": 0.98}, ],
"Price" : [{"value": "$23", "confidence_score": 0.98}, {"value": "$12", "confidence_score": 0.97}],
}
}An AI OCR designed for security
No training on your data
Fully encrypted software
Secure storage of extracted data
RGPD compliant
Explore all the documents ready for automation
Accounting
Product objective, risk profile, performance scenarios, recommended holding period
Accounting
Customer name, billing address, energy consumption, total amount due, date of issue...
Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from a bank check?
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.
Can I extract specific information from a bank check?
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.
Can OCR process a bank check if it is printed or handwritten?
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.
In what format should I upload a bank check for OCR analysis?
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.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via an API, with complete documentation available here. Additionally, you can import your documents directly into the application and download the extracted data in XLSX, XLS, CSV, or JSON formats for seamless integration into your workflows.
Comment Koncile s'intègre-t-il avec mes outils et logiciels existants ?
Koncile est accessible via une API puissante, avec une documentation complète disponible. De plus, vous pouvez télécharger des documents directement dans l'application et exporter les données extraites au format XLSX, XLS, CSV ou JSON pour une intégration fluide dans vos flux de travail.
I need further assistance.
Check our API documentation, contact us at contact@koncile.ai. You can also create a demo account or book a demonstration with our team.
What are Koncile's prices?
Koncile offers 3 plans, including enterprise options for handling large volumes of data. You can check our pricing on the dedicated page in our documentation.
What are general fields and repeated fields?
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.
