IBAN & RIB OCR API

4.8/5

(30+ reviews)

IBAN and RIB OCR API that reads any bank details document

Turn RIBs, bank letters and account confirmations, PDF, scan or photo, into structured JSON. Account holder, IBAN, BIC, bank and branch address, each with a confidence score.

No credit card required

SOC 2 Type II & GDPR

IBAN OCR API reading account holder, IBAN, BIC and bank from a French RIB into JSON

Trusted by finance and product teams at

Why collecting bank details still takes days

Suppliers, employees and customers send bank details as RIB PDFs, photos or letters. Teams retype 27-character IBANs into the ERP or payroll, then check them against the name on file.

Details received

RIB arrives by email, upload or form.

Manual keying

27-character IBAN typed into the ERP.

Friction

One swapped digit sends money elsewhere.

Name check

Holder name compared with the record.

Friction

Fraudulent bank changes slip through.

Approval

New bank details signed off by finance.

Friction

Payments wait until someone signs off.

Payee created

Finally ready, one RIB at a time.

RESULT

[X] minutes to key and check each set of bank details, and [X]% of first payments rejected for a wrong IBAN.

See how Mindee fixes it

Account holder

account_holder_name

IBAN

iban

Bank

bank_name, bic

Account

account_number, account_type

Branch address

branch_address.street, city, postal_code, country

Domestic codes

bank_code, branch_code, rib_key (added to your schema)

response.json

{

"account_holder_name": { "value": "Atelier Morel SARL" },

"iban": { "value": "FR76 1452 0007 1800 0287 4195 311" },

"bank_name": { "value": "Banque Rivage" }, "bic": { "value": "BRIVFRPPXXX" },

"account_number": { "value": "00028741953" }, "account_type": { "value": "business current account" },

"branch_address": { "street": { "value": "12 Rue de la Villette" }, "city": { "value": "Lyon" }, "country": { "value": "France" } },

"bank_code": { "value": "14520" }, "branch_code": { "value": "00718" }, "rib_key": { "value": "11" },

}

Ready to post, not just to read.

IBAN and BIC come back as strings ready to validate in code, and every field carries a confidence score and its position on the page.

Built for real RIBs, not clean test files

Banking app screenshots, RIBs printed and rescanned, letters with the IBAN split in groups of four, stamps over the holder name. The model reads the details wherever they sit.

Bank details documents from six European countries flowing through Mindee into one IBAN schema

Any bank, any SEPA country

RIBs, bank letters and account confirmations look different in every bank and country. The same schema comes back for all of them, with no template to build.

IBAN extracted from a RIB and checked in code for country, length and checksum before saving the payee

IBANs ready to validate

The IBAN comes back as a string you can check in code, country format and checksum, before it is saved as a payee.

Account holder names from three RIBs compared with suppliers on file, one mismatch sent to review

Holder name matched to your records

Compare account_holder_name with the supplier, employee or customer on file to catch mismatched details before the first transfer.

Invoice IBAN compared with the supplier's RIB on file, changed bank details flagged and payment held

Bank changes flagged on invoices

The invoice model returns supplier_payment_details. Compare that IBAN with the RIB on file and hold the payment if the details changed.

PDF / JPEG / PNG / WEBP / TIFF / HEIC, RIBs & bank letters, Banking app screenshots, IBANs from any SEPA country, Scans & phone photos

IBAN OCR accuracy you can measure, field by field

Every field comes with a confidence score, so clean bank details go straight to your ERP and unclear ones go to a reviewer. Test it on your own RIBs in the free trial.

99.8%

Field-level accuracy on IBAN and BIC

IBAN, BIC, account number

96.4%

Accuracy on holder and bank names

Holder, bank, branch

0.7s

Median time per document

Single page, synchronous call

A confidence score on every field

Set your own threshold. Fields above it flow straight to your systems; anything below lands in a review queue, with the exact spot on the RIB highlighted. Définissez votre propre seuil. Les champs au-dessus partent directement dans vos systèmes ; les autres rejoignent une file de vérification, avec leur emplacement exact mis en évidence sur votre RIB.

Auto-approve the RIBs you can trust Validez automatiquement les RIBs fiables

Send only real exceptions to a human

Document AI features, better than OCR

Prepare, classify and extract. Mindee delivers high-accuracy extraction for every document format, so you can automate workflows with speed and high reliability.

Prototype in minutes, go live with the API

Start with a no-code workflow to prove the value on your own RIBs, then move the same model into your product. Commencez par un workflow no-code pour prouver sa valeur sur vos propres RIBs, puis intégrez le même modèle dans votre produit.

What teams build with IBAN extraction

The same API powers very different products. Here is where it usually starts.

Rated 4.8/5 by developers and operations teams

4.8

on G2

4.9

on Capterra

quote

Excellent. In addition to their great product, the sales team has always been proactive on how they could help us leverage the maximum results from their product. It was like having an additional product manager on our side

on Capterra

quote

Mindee is a web based tool that help us in scanning and reading different type of documents like identity cards, invoices, proposal plans etc and extract all the information with its AI and then it provides all the information and data associated with these documents a structured way.

on G2

quote

I like the easiness and how to use it. Also the price model is very fair. Good with space for improvement

on Capterra

FAQ about Mindee's IBAN & RIB OCR API

Can't find what you're looking for? Our team answers within one business day.

About RIB OCR À propos de l’OCR pour les RIB

What is the difference between an IBAN and a RIB?

An IBAN (International Bank Account Number) is the international standard used to identify a bank account for transfers. It starts with a two-letter country code and two check digits, followed by the domestic account number, for up to 34 characters. A RIB (relevé d’identité bancaire) is the document French banks issue to share account details. It shows the account holder, the bank and branch codes, the account number and the RIB key, along with the matching IBAN and BIC. In France, the IBAN embeds the RIB codes. Mindee extracts the account holder, IBAN, BIC, bank name and branch address from a RIB or any bank details letter, and you can add the domestic codes to your data schema.

About Mindee

Is my data secured and protected during the conversion process?

Yes, your data is highly secured and protected during the entire conversion process. As an enterprise-grade OCR solution, Mindee takes data privacy very seriously. Here are the key security measures in place:

  • Certified compliance: Mindee's infrastructure is SOC 2 Type II certified and fully GDPR compliant, ensuring strict industry standards for data protection.
  • Encryption: All documents and extracted data are fully encrypted both in transit (during the API call) and at rest.
  • Data localization: You have control over where your data is processed, with the option to host and process your data on either EU or US servers.
  • Strict privacy: Mindee respects data confidentiality. Your processed documents are not shared with third parties, and your private data is not used to train global AI models.

In short, your sensitive documents are processed in a secure, isolated environment and remain completely under your control.

Is Mindee's OCR API free to use?

We provide a 14 days free trial so you can fully test any of our OCR models — no credit card required. After this, we offer different pricing tiers depending of the volume of pages processed and the features you might need. See the pricing page for more information.

What file formats are supported for JSON conversion?

The supported document formats are:

  • PDF (application/pdf) – While technically a document format rather than an image, it is natively supported for all extraction models.
  • JPEG / JPG (image/jpeg)
  • PNG (image/png) – Must be non-animated.
  • WebP (image/webp)
  • TIFF / TIF (image/tiff) – Both single-page and multi-page TIFFs are supported and processed similarly to PDFs.
  • HEIC (image/heic) – Apple's High-Efficiency Image Container format.

‍

📌 Important technical limitations to keep in mind:

To ensure the OCR pipeline runs smoothly and successfully returns your JSON, make sure your files adhere to the following constraints:

  • Maximum file size: 100 MB per file.
  • Maximum page count: Up to 200 pages per document.
  • File state: The files cannot be encrypted, and PDFs must not be password-protected.

Ready to stop retyping IBANs?

Send your first RIB to the API in minutes, with a full team of engineers dedicated to document processing behind it.

14-day free trial

No credit card required