AI Document Digitization (Universal OCR)

Name: AI Document Digitization (Universal OCR)
Brand: ECOSIRE
SKU: ai-document-digitization-ocr

Temel Özellikler

Template-free AI extraction that reads mixed document types — POs, invoices, contracts, IDs, passports, delivery notes, receipts — without a fixed layout per vendor

Automatic document-type classification so each upload is routed to the correct Odoo model and field-mapping profile

Searchable OCR text layer written back onto every scan and PDF, indexed for full-text search from inside Odoo

Visual field-mapping designer that binds recognized fields to any Odoo model and field (standard or custom x_ studio fields)

Confidence scoring per field with a human-in-the-loop review queue for low-confidence extractions before records are committed

Bulk import from a watched network/SFTP folder via an ir.cron scheduled action that sweeps new files automatically

Email-to-Odoo ingestion: forward or BCC scans to a monitored mailbox and the module digitizes attachments on a poll cycle

Direct scanner intake — drop TWAIN/network-scanner output into the watch folder and it flows straight into records

Multi-format handling for PDF, JPG, PNG and TIFF, including multi-page PDFs split into per-document extractions

Line-item table extraction (e.g. PO/invoice line grids) mapped into Odoo one2many lines, not just header fields

Every source file stored as an ir.attachment linked to the created record, with a QWeb side-by-side preview of scan vs. extracted data

Duplicate detection on key fields (invoice number, PO reference) to stop the same document being posted twice

Multi-language and multi-currency aware field parsing, normalizing dates, amounts and tax figures to Odoo's format

Automated post-extraction actions via base automation — create/update records, tag partners, trigger approvals, notify a channel

Full audit trail: who reviewed, what the AI proposed, what was corrected, and the extraction confidence, per document

Optional XML-RPC / JSON-RPC endpoints so external scanners or DMS tools can push documents into the pipeline programmatically

Role-based access via ir.model.access.csv and record rules so only authorized users see, review or post digitized documents

Siparişe özel, sizin için baştan sona

Kendiniz kurmanıza gerek yok — ECOSIRE tarafından geliştirilen, kurulan ve desteklenen çalışır bir uygulama.

Sipariş verirsiniz

Tek seferlik geliştirme fiyatıyla başlayın. Kapsamı başlangıçta sizinle birlikte belirleriz.

Geliştirir ve kurarız

ECOSIRE, Odoo ortamınızda geliştirir, yapılandırır ve kurar.

Yayına alma + destek

Yaklaşık 2–4 haftada yayına alırsınız; lansman sonrası bir destek süresi de dahildir.

Bu Ürün Hakkında

AI Document Digitization (Universal OCR) is a build-to-order Odoo module that turns your paper-and-PDF backlog into clean, structured Odoo records — without brittle per-vendor templates. Instead of the fixed-layout OCR you find in Odoo's stock Invoice Digitization, this module uses modern AI extraction to read whatever you throw at it: purchase orders, supplier invoices, signed contracts, national IDs and passports, delivery notes, packing slips, receipts and letters. It recognizes the document type, locates the fields that matter, and maps them onto the Odoo model you choose.

Because ECOSIRE builds this specifically for your business, the module ships as real Odoo code — a proper addon with its own __manifest__.py, models extending models.Model, computed and stored fields with @api.depends, security wired through ir.model.access.csv plus record rules, backend views in XML/OWL, and QWeb report/preview layouts. Ingestion runs through Odoo's own plumbing: ir.attachment for the scanned binaries, ir.cron scheduled actions for folder-watch and mailbox polling, and base automation for the post-extraction hand-off (create a purchase.order, attach to a res.partner, populate a custom x_document.digitized model — whatever your workflow needs). Every extracted document keeps a searchable OCR text layer indexed against the record, so your team can finally full-text search scans and PDFs from inside Odoo.

This is not an apps.odoo.com instant download and it is not a black box. It's a scoped engagement: ECOSIRE analyzes your document samples and target models, builds the extraction + field-mapping configuration, installs it on your Odoo 17, 18 or 19 (Community or Enterprise), trains your operations team, and supports it. You own the source, the mapping rules, and the data — nothing is locked behind an opaque per-page meter you can't see into.

Typical lead time is 2–4 weeks depending on the number of document types and target models. What you get at the end is a document intake pipeline that removes manual re-keying, kills transcription errors, and makes years of paper instantly findable — all native to the ERP your team already lives in.

Ne elde edeceksin

Complete, commented Odoo addon source (module code, models, views, security, QWeb templates) delivered to your repo — you own it outright

Configured field-mapping profiles for each of your agreed document types, bound to your target Odoo models

Installation and deployment on your Odoo 17, 18 or 19 instance (Community or Enterprise), including ir.cron and mailbox/folder-watch setup

Security configuration: ir.model.access.csv rules and record rules scoped to the user groups you specify

Technical documentation covering architecture, the mapping designer, cron/folder/email intake config, and how to add new document types

Live training session for your operations team on uploading, reviewing the confidence queue, correcting fields and posting records

A defined post-go-live support and bug-fix window, with agreed response times and an update path for Odoo point releases

Sample-set validation report showing extraction accuracy across your real documents before handover

Bu kimin için

Back-office operations lead

Owns a paper-heavy intake process — supplier invoices, POs, delivery notes — and needs data in Odoo without an army of typists re-keying it. Wants accuracy, a review step for edge cases, and an audit trail.

Accounts payable / finance manager

Drowning in supplier documents from dozens of vendors with different layouts. Needs header and line-item extraction straight into vendor bills and POs, with duplicate detection and confidence scoring before anything posts to the ledger.

IT / ERP administrator

Responsible for the Odoo instance and integrations. Wants a real, source-available addon that fits Odoo conventions (ir.attachment, ir.cron, record rules, XML-RPC), installs cleanly on their version, and won't become an unmaintainable black box.

Compliance & records officer

Manages contracts, IDs and regulated documents that must be searchable and traceable. Needs a searchable OCR layer, per-document audit history, and role-based access so only authorized staff can view sensitive scans.

AI Document Digitization (Universal OCR) Nasıl Karşılaştırılır

Kriter	ECOSIRE	Özel Yapı	Rakip
Document types supported	Any type you scope — POs, invoices, contracts, IDs, delivery notes, receipts	Only what you find time to build; usually starts invoice-only	Often fixed to one or two document types per app
Template-free AI extraction (no per-vendor setup)	Yes — AI classifies and locates fields across layouts	Rarely — most DIY builds rely on rigid templates or regex	Kısmi destek
Maps to any Odoo model via a field-mapping designer	Yes — bind fields to standard or custom models	Possible but hand-coded per model	Dahil değil
Searchable OCR text layer on scans and PDFs	Yes — indexed for full-text search inside Odoo	Only if separately built	Kısmi destek
Confidence scoring + human review queue	Yes — thresholded review before records post	Rarely implemented	Kısmi destek
Bulk intake: folder-watch, email, scanner (ir.cron)	Yes — all three, configured for you	Each channel is extra build work	Kısmi destek
Works on Community and Enterprise, Odoo 17/18/19	Yes — no Enterprise-only lock-in	Depends on your build	Kısmi destek
You own the source code and mapping rules	Yes — full commented addon handed over	Yes, but you built and must maintain all of it	Dahil değil
Built, installed, trained and supported for you	Yes — 2–4 week engagement with support window	You resource and maintain it entirely	Dahil değil

AI Document Digitization (Universal OCR) hakkında Sıkça Sorulan Sorular

How long until it's live, and what's the process?

This is a build-to-order module, not an instant download. Typical lead time is 2–4 weeks depending on how many document types and target Odoo models are in scope. The flow is: you share representative document samples and tell us which Odoo models the data should land in; we build and configure the extraction + field-mapping, validate it against your real samples, then install it on your Odoo instance and train your team. You'll get a validation report showing accuracy before handover.

What support and updates do I get after go-live?

Every engagement includes a defined post-go-live support and bug-fix window with agreed response times, plus a documented path for keeping the module working across Odoo point releases. Because you receive the full commented source, your own team (or ECOSIRE on an extended support agreement) can add new document types or adjust mappings later. We can also scope ongoing maintenance and Odoo 17→18→19 upgrade support separately.

Does this need Odoo Enterprise, or does it work on Community?

It works on both Community and Enterprise, and supports Odoo 17, 18 and 19. Unlike Odoo's built-in Invoice/Document Digitization — which is an Enterprise, IAP-metered, invoice-focused feature — this module is a self-contained addon you own. The AI extraction runs through the configuration we build, not a locked Enterprise-only credit meter, and it covers any document type, not just invoices.

Do I have to build a template for every vendor or document layout?

No. That's the core difference from most apps.odoo.com OCR modules. The extraction is template-free: an AI model classifies the document and locates the relevant fields regardless of layout, so a new supplier's invoice or a different ID format works without you authoring a per-vendor template. You configure mappings per document type, not per layout, and low-confidence extractions go to a human-review queue before they commit.

How does the data actually get into Odoo, and can I trust it?

Extracted fields are mapped onto the Odoo model and fields you choose via the mapping designer, and can trigger base-automation actions (create a purchase.order, populate a custom model, tag a partner, start an approval). Every field carries a confidence score; anything below your threshold lands in a review queue for a human to confirm or correct before the record is posted. The original file is stored as an ir.attachment on the record with a side-by-side QWeb preview, plus a full audit trail of what the AI proposed and what was changed — so nothing hits your data silently.

Can external scanners or other systems push documents in automatically?

Yes. Intake works three ways out of the box: a watched folder (network/SFTP) swept by an ir.cron scheduled action, a monitored mailbox that digitizes emailed attachments on a poll cycle, and direct scanner output dropped into the watch folder. For deeper integration, we can expose XML-RPC / JSON-RPC endpoints so an external DMS, scanning appliance or third-party app pushes documents into the pipeline programmatically.