Instant extraction of transaction confirmation
Automatically analyze and structure your transaction notices in PDF format: transaction type, ISIN, amounts, fees... available in Excel, JSON or via API.
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The best teams work with Koncile
Precise extraction of operator notification fields
Koncile’s AI-powered OCR extracts and structures trade confirmation data to automate transaction tracking, improve analysis reliability, and feed your management tools in real time.
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.
Information captured automatically
Designed for asset managers, advisors, and analysts, Koncile’s OCR generates a structured table of trade confirmations: transaction type, ISIN, quantity, price, amount, fees, and date.
A valuable time saver for monitoring, consolidation, or report generation thanks to OCR accounting.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile OCR for your financial documents ?
Try new generation data extraction
Start with a ready-to-use model, test on a document and scale
Créez vos modèles d’extraction, testez sur un premier document et passez à l’échelle !
A unique extraction solution for your financial documents
Automatic collection by OCR and AI
Combinaison de deux technologies pour reconnaitre les informations clés, malgré la variabilité des documents
Document flow management
Accelerate your document flow management thanks to automatic field detection.
Optimized document workflow
Koncile's OCR API uses AI algorithms and LLMs to ensure the best reliability in extraction.
Mass documentary check
Build a database based on the information extracted. Perform checks on large volumes.
Control and basis for the analysis of transaction notices
Does the operator's report contain all the information necessary for good traceability? Is the type of operation clearly identified? Are the ISIN code, quantities, and amounts accurate? Are the fees and currency well specified? Does the execution date correspond to the movements recorded? Automate the reading, verification and structuring of transaction reviews thanks to Koncile's AI OCR.
The OCR API for automate your PDF data capture
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
Discover all the documents to be automated
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.
Can OCR process a printed or handwritten Transaction Notice?
Yes, OCR can analyze printed or handwritten transaction notices. For handwritten documents, it uses advanced algorithms to ensure accurate extraction of key information.
How does OCR extract information from a Transaction Notice?
Koncile OCR identifies the essential data in a transaction notice, such as the date of the transaction, the amount of the transfer, and bank or transaction references.
Can I extract specific information from a Transaction Notice?
Yes! You can retrieve only specific fields such as the type of transaction, the validation code or the issuing bank, according to your needs.
In what format should I import a Transaction Notice for OCR analysis?
You can upload your transaction notice in the format PDF, PNG, or JPEG. These formats are supported by our OCR and allow reliable extraction of the financial information contained in the document.
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.
