An AI-powered OCR extension for Magento 2 and Adobe Commerce that reads uploaded images and PDFs (receipts, IDs, invoices) and maps the extracted text into structured Magento entities — with a bulk processing queue, confidence scoring, and a manual review workflow. Built to order, installed, and supported by ECOSIRE. One-time license from $499.00 USD for Magento 2 / Adobe Commerce (build-to-order) — includes 12 months of updates and support.

An AI-powered OCR extension for Magento 2 and Adobe Commerce that reads uploaded images and PDFs (receipts, IDs, invoices) and maps the extracted text into structured Magento entities — with a bulk processing queue, confidence scoring, and a manual review workflow. Built to order, installed, and supported by ECOSIRE.
Aucun paiement maintenant. Ceci envoie une demande de devis à notre équipe — nous vous recontacterons par e-mail avec les tarifs et les prochaines étapes.
The AI OCR Document Reader turns the documents your merchants and staff already upload — receipts, ID cards, supplier invoices, proof-of-delivery scans — into clean, structured data inside Magento 2 and Adobe Commerce, with no manual re-keying.
OCR text extraction from uploaded images (JPG, PNG, TIFF) and multi-page PDFs, processed through a provider-agnostic OcrEngineInterface service contract wired in di.xml
Structured field mapping that writes recognized values onto Magento entities — customer/EAV attributes, order/invoice records, or a custom table defined via declarative db_schema.xml
Bulk document processing queue using RabbitMQ on Adobe Commerce or a MySQL message-queue cron consumer on Magento Open Source, so large batches run asynchronously without blocking the admin
Multi-language text recognition configurable per job (Latin, Arabic, CJK and more), set in admin system configuration under Stores > Configuration
Per-field confidence scoring with a configurable threshold that auto-routes low-confidence results to a manual review queue
Dedicated admin review grid (UI Component listing) where staff verify, edit, and approve extracted fields before they commit to the target entity
It ships as a proper module under app/code/Ecosire/AiOcr, registered through registration.php and a versioned module.xml. Document jobs are dispatched to a dedicated queue (RabbitMQ on Adobe Commerce, or a MySQL-backed cron consumer on Open Source) so large batches never block the admin request thread. An OCR adapter abstracts the AI provider behind a service contract (Api/OcrEngineInterface), wired in di.xml, so the recognition backend can be swapped without touching business logic.
Extraction results flow through a field-mapping layer that writes values onto the Magento entity you choose — a customer attribute, an order comment, a custom invoice record, or a dedicated table created via declarative schema (db_schema.xml). Every extracted field carries a confidence score; values below your configured threshold are routed into a manual review grid in the admin, gated by its own ACL resource so only authorized roles can approve or correct them.
Because this is built to order, ECOSIRE scopes the document types, entity mappings, and recognition languages to your exact workflow, then installs it on your staging environment, validates against setup:upgrade and setup:di:compile, and hands over a tested release. We are not an instant Adobe Commerce Marketplace download — we are your engineering team for this feature, including upgrades and support after go-live.
Results are exposed through admin grids, REST endpoints, and optional GraphQL resolvers so headless storefronts and downstream ERP integrations can consume the structured output directly.
Receives stacks of supplier invoices and receipts that staff currently key into Magento and the accounting system by hand. Wants extracted line items and totals mapped straight onto order/invoice records with a review step before anything commits.
Needs customer ID and KYC documents read, captured, and audited inside Magento with strict role-based access and a full extraction trail — not a manual data-entry process prone to errors and leakage.
Owns a customized Adobe Commerce build and won't risk a generic Marketplace extension touching core. Wants a clean module using service contracts, plugins, queues, and ACL that ECOSIRE delivers, installs, and supports against the exact stack.
Achetez la licence sur ecosire.com et téléchargez le module ZIP AI OCR Document Reader depuis le tableau de bord de votre compte.
Extrayez le ZIP dans votre dossier de modules complémentaires personnalisés Odoo sur le serveur (ou téléchargez-le via Applications > Installer à partir du fichier sur Odoo.sh / runbot).
Activez le mode développeur, ouvrez les applications, cliquez sur Mettre à jour la liste des applications, recherchez AI OCR Document Reader et appuyez sur Installer.
Ouvrez le nouveau menu, collez votre clé de licence ECOSIRE, connectez toutes les informations d'identification externes (Shopify, Amazon, Stripe, etc.) et enregistrez.
Exécutez le test de connexion intégré, synchronisez vos 10 premiers enregistrements et planifiez le cron récurrent. Contactez le support si quelque chose échoue.
| Critère | ÉCOSIRE | Construction personnalisée | Concurrent | Odoo natif |
|---|---|---|---|---|
| AI OCR extraction from images and PDFs natively in the admin | ||||
| Structured field mapping onto Magento entities (EAV / custom db_schema tables) | ||||
| Asynchronous bulk queue (RabbitMQ on Adobe Commerce / MySQL queue on Open Source) | ||||
| Confidence scoring with auto-routed manual review grid + ACL | ||||
| Built, installed, and validated for your exact stack (setup:di:compile, version-checked) | ||||
| Scoped to your document types, languages, and entity mappings | ||||
| Ongoing support and upgrade compatibility from the team that built it | ||||
| REST + optional GraphQL access for headless/ERP integration |
No. The AI OCR Document Reader is built to order by ECOSIRE. After purchase we scope your document types, target entities, and recognition languages, develop the Ecosire_AiOcr module, then install and validate it on your staging environment before go-live. There is no instant Marketplace download — you get a feature engineered and tested for your specific Magento 2 or Adobe Commerce instance.
Typical delivery is about 2 to 4 weeks from when we confirm scope and have access to your staging environment, depending on the number of document types, entity mappings, and languages involved. We share a firm timeline during scoping. A straightforward single-document-type setup lands toward the shorter end; multi-language, multi-entity, ERP-integrated builds toward the longer end.
Every build includes a defined post-launch bug-fix window covering the delivered scope. Beyond that, we offer ongoing maintenance to keep the module compatible with your Magento Open Source or Adobe Commerce upgrades, PHP version changes, and OCR provider API updates. Because ECOSIRE builds and installs the module, the same team supports it — you are not left reverse-engineering a third party's code.
The module abstracts recognition behind a provider-agnostic OcrEngineInterface service contract, so it can integrate a cloud AI OCR service or an engine you already license. Provider credentials are stored using Magento's encrypted configuration. If you have a preferred or compliance-mandated provider, we wire it in during the build.
Yes. Extraction submission and results are exposed over REST endpoints, with optional GraphQL resolvers for headless and PWA Studio frontends. This lets downstream systems — your ERP, PIM, or accounting platform — consume the structured output directly. We confirm the exact API surface you need during scoping.
Yes. The module runs on both. On Adobe Commerce it uses RabbitMQ for the bulk processing queue; on Open Source it falls back to a MySQL-backed message queue driven by cron. We verify compatibility against your specific Magento version and PHP runtime as part of delivery.
An AI-powered OCR extension for Magento 2 and Adobe Commerce that reads uploaded images and PDFs (receipts, IDs, invoices) and maps the extracted text into structured Magento entities — with a bulk processing queue, confidence scoring, and a manual review workflow. Built to order, installed, and supported by ECOSIRE.