OCR extraction of IRS notice
Koncile automatically reads and extracts key data from IRS notices: tax income, number of shares, amount due, tax references... available in JSON, Excel or via API.
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Capture all IRS notice data
Koncile’s AI-powered OCR automatically extracts essential fields, even from partial scans or complex documents, and transforms them into structured data usable for scoring, compliance, or document centralization.
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 should I extract from IRS notices?
This table presents the fields extracted by Koncile’s OCR from an IRS notice.
The data is delivered in structured formats (Excel, JSON, API) and is directly usable for your controls, integrations, or analyses. Particularly useful for compliance, credit, or accounting departments within an optimized intelligent document processing workflow.
Name | Type | Example | Guideline | |
|---|---|---|---|---|
Validité | Text | Oui | Vérifie que le RIB est bien constitué des éléments suivants : | |
Why choose Koncile to process IRS notices?
Tailor the extraction to your needs
Easily add or modify extraction fields in the Koncile parser interface using natural language.
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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.
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.
Try new 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 !
Reliable and fast processing of tax documents
Smart reading of PDFs and scans
Koncile reads standard documents such as fuzzy or partial scans, and extracts the right data.
Structured export
Data available in JSON, Excel or API, ready to integrate your customer databases or analysis tools.
Extraction of key fiscal fields
Reference tax income, number of shares, total tax amount, total tax amount, balance payable, administrative details, tax number, date, tax year...
Large-scale treatment
Process hundreds or thousands of reviews without manual entry, with a homogeneous and verified extraction.
Adapted to your business use cases
Perfect for neobanks, fintechs, accountants, accountants, brokers or legaltechs who want to automate controls or fill user files.
The OCR API for automate Bank check management
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
Automate tax document management
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Any question?
Contact us at contact@koncile.ai, check out our documentation, or book a demo.
How does OCR extract information from an IRS notice?
Koncile OCR identifies the key elements of an income tax notice, such as the amount due, the reference tax income, and the various tax discounts or credits applied.
Can I extract specific information from an IRS notice?
Yes! You can set up OCR to retrieve specific fields such as the tax rate, the amount of deposits already paid, or the payment deadline.
In what format should I import an IRS notice for OCR analysis?
You can upload your income tax notice in PDF, PNG, or JPEG. These formats are compatible with our OCR technology and ensure reliable extraction of tax information. See documentation for more details.
Can OCR process a printed or handwritten IRS notice?
Yes, Koncile OCR can analyze printed or handwritten income tax notices. It applies advanced character recognition to ensure the accuracy of the extracted data.
How does Koncile integrate with my existing tools and software?
Koncile is accessible via an API. Check our full OCR documentation. 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 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.
