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AI Business Card Reader for Odoo — A build-to-order Odoo module that turns photographed or scanned business cards into struct — 1/1उदाहरणात्मक पूर्वावलोकन

A build-to-order Odoo module that turns photographed or scanned business cards into structured CRM leads and contacts using AI text recognition.

ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19.

AI Business Card Reader for Odoo क्या है?

A build-to-order Odoo module that turns photographed or scanned business cards into structured CRM leads and contacts using AI text recognition. ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19. Built to order by ECOSIRE for Odoo 17, 18, 19 — indicative price from $999.00 USD; request a quote for a scoped proposal.

प्रमुख सुविधाएँ

Mobile-friendly OWL capture widget plus a QWeb upload action that stores each card image as an `ir.attachment` on a dedicated `card.scan` record
AI text-region detection and field classification into name, title, company, phone, mobile, email, website, and structured postal address
`@api.depends` compute + normalization layer that maps raw extraction onto native `res.partner` and `crm.lead` fields (phone/email format, country, state)
Automatic company resolution: creates or links the parent `res.partner` company and attaches the person as a child contact
De-duplication against existing partners and leads by email and normalized phone before any new record is written
Confidence scoring per field, with low-confidence values held for one-click human review instead of silent writes
Direct `crm.lead` creation with source, medium, campaign, and salesperson stamped from the capture context
`base.automation` automated actions to route, tag, assign, and schedule a follow-up activity on each new lead
`ir.model.access.csv` + record rules so reps see only their own scans while managers see the whole team's
XML-RPC/JSON-RPC endpoint to push cards from an external badge scanner, kiosk, or event app without the UI
Multi-language / multi-script recognition configurable to your target markets (Latin, Arabic, CJK as scoped)
QWeb report of scanned cards vs. converted leads for event ROI, filterable by campaign and date
Batch upload for clearing a backlog of card images in one action, with a per-record review queue
Pluggable recognition provider so the OCR/AI engine can be swapped or self-hosted per your data-residency needs

ऑर्डर पर निर्मित, पूरी तरह आपके लिए तैयार

स्वयं सेटअप की ज़रूरत नहीं — ECOSIRE द्वारा निर्मित, इंस्टॉल और समर्थित एक कार्यशील ऐप।

  1. 1

    आप ऑर्डर करते हैं

    एक बार के निर्माण मूल्य से शुरू करें। किकऑफ़ पर हम आपके साथ मिलकर दायरा तय करते हैं।

  2. 2

    हम बनाते और इंस्टॉल करते हैं

    ECOSIRE इसे आपके Odoo पर बनाता, कॉन्फ़िगर और इंस्टॉल करता है।

  3. 3

    लाइव + समर्थन

    आप लगभग एक कार्य सप्ताह में लाइव हो जाते हैं, गो-लाइव के बाद दो सप्ताह के समर्थन के साथ। हमारे द्वारा दिए गए कोड की खामियाँ निःशुल्क ठीक की जाती हैं।

तकनीकी विनिर्देश

Odoo संगतता
Odoo 17, Odoo 18, Odoo 19
संस्करण
Enterprise और Community
लाइसेंस
लाइसेंस की पुष्टि आवश्यक है
Python आवश्यकता
Python 3.10+
डेटाबेस
PostgreSQL 12+

इस उत्पाद के बारे में

Sales teams that run Odoo still collect leads the analog way: a stack of business cards from an expo booth, a folder of card photos on a rep's phone, a WhatsApp thread of snapshots after a conference. Someone then keys each one into crm.lead or res.partner by hand — misspelling company names, dropping VAT numbers, and letting warm contacts go cold while they sit in a data-entry backlog. Odoo core has no card-to-contact capability at all: there is no OCR pipeline, no image-to-field mapping, and the standard lead form assumes a human is typing. Even the closest off-the-shelf apps.odoo.com module tends to ship a fixed field map and a single OCR engine you cannot swap, which rarely matches a specific country's card conventions or a team's existing lead-qualification workflow.

ECOSIRE builds a made-to-order module that closes that gap end to end. We add a capture surface — a mobile-friendly OWL widget and a QWeb-rendered upload action — so a rep photographs a card and the image lands as an ir.attachment on a new record. A dedicated model (for example card.scan, extending models.Model) then calls an AI recognition service to detect the card's text regions and classify them into name, job title, company, phone, mobile, email, website, and postal address. A set of @api.depends compute methods and normalization rules map the raw extraction onto real Odoo fields, resolve or create the res.partner company, de-duplicate against existing partners by email and phone, and spin up a crm.lead (or a contact under an existing company) with the source, medium, and campaign already stamped. Low-confidence fields are flagged for a one-click human review rather than written silently, so the data your reps trust is data a person confirmed.

Everything is engineered to your instance, not bolted on. Access is governed by ir.model.access.csv plus record rules so a rep only sees their own scans while managers see the team's; automated actions (base.automation) can route a freshly created lead to the right salesperson, tag it, or trigger a follow-up activity. The module ships as a proper addon with its own __manifest__.py, versioned views, and demo data, and it exposes its create-lead path over Odoo's XML-RPC/JSON-RPC API so an existing badge scanner, event app, or kiosk can push cards in without touching the UI. We build against Community or Enterprise as your edition requires — calling out any Enterprise-only dependency up front — and target whichever of Odoo 17.0, 18.0, or 19.0 you run.

Delivery is build-to-order. After a short scoping call we confirm the exact field map, the recognition provider and language coverage, your de-duplication rules, and which teams and pipelines the leads flow into, then send a fixed quotation. Typical delivery is one working week from confirmed scope, and you receive the module on a staging instance for UAT before it ever touches production. Pricing starts from $999 (indicative, single-company base scope); multi-company routing, additional card languages or scripts, integrations with an external event/badge system, and bulk migration of an existing backlog of card images all increase the quoted scope.

What you get

  • Installable, version-pinned Odoo addon (source code) built for your target 17.0/18.0/19.0 and edition
  • Installation and configuration on your staging and production instances, including recognition-provider credentials wiring
  • Technical documentation: model/field map, security rules, automated actions, and the XML-RPC/JSON-RPC integration contract
  • End-user guide plus a live training session for reps and administrators
  • UAT on a staging instance with a documented rollback plan before go-live
  • A post-go-live support window for defect fixes and configuration adjustments
  • Git repository handover with full commit history and tagged release
  • Sample/demo data and a seed set of test cards for verifying recognition accuracy

Who this is for

Field & Event Sales Teams

Reps who collect dozens of cards at expos and conferences and need each one to become a routed, deduplicated CRM lead the same day instead of a data-entry backlog.

CRM & Sales Operations Managers

Owners of pipeline hygiene who need consistent source/campaign tagging, no duplicate partners, and a report tying scanned cards to converted leads for event ROI.

Odoo Administrators / IT Leads

The people responsible for the instance who want a clean addon with proper access rules, an integration path for existing badge hardware, and a supported upgrade across 17/18/19.

Marketing / Demand-Gen Leads

Teams running the event calendar who want captured contacts to land with the right medium and campaign so follow-up automation and attribution actually work.

How AI Business Card Reader for Odoo Compares

CriterionECOSIRECustom BuildCompetitorOdoo नेटिव
Card image to CRM leadFull pipeline: capture, AI extract, dedupe, create leadPossible but you build every stage yourselfOften fixed field map and one OCR engineNot available; manual keying only
Field mapping & normalizationScoped to your fields, phone/country normalized via computeWhatever your team codes and maintainsGeneric map, limited configurabilityNone
De-duplicationBy email + normalized phone before writeMust design and test the matching logicBasic or absentManual, after the fact
Recognition engine choicePluggable; cloud or self-hosted for data residencyYour integration and upkeepUsually locked to the vendor's engineNone
Access control`ir.model.access.csv` + record rules per roleYou define and audit the rulesDepends on the moduleStandard model ACLs only
External integrationXML-RPC/JSON-RPC endpoint for badge scanners/kiosksBuild the API surface yourselfRarely exposedGeneric RPC, no card logic
Support & ownershipPost-go-live window + full git repo handoverSelf-supported unless you hire outVendor support tier, code often closedCommunity/Enterprise support, no feature
Odoo 17/18/19 fitBuilt and tested for your exact version and editionYou port and re-test each upgradeMay lag new releasesN/A

Frequently Asked Questions about AI Business Card Reader

Is this an app I can download and install today?

No. It is a build-to-order module. ECOSIRE builds it for your specific Odoo instance and field map after a scoping call, then installs and supports it. It is not an existing apps.odoo.com download.

How long does delivery take?

Typical delivery is one working week from confirmed scope. The timeline depends on the field map, number of card languages, de-duplication rules, and any external integrations agreed during scoping. You get a firm date with your fixed quotation.

How does pricing and scoping work?

Pricing starts from $999 as an indicative single-company base-scope figure. After a short scoping call we confirm exact requirements and send a fixed quotation. Drivers like multi-company routing, extra languages, badge-scanner integration, or migrating a backlog of card images increase the quoted scope.

Which Odoo versions and editions do you support?

We build for Odoo 17.0, 18.0, or 19.0, on Community or Enterprise. If any part of the scope depends on an Enterprise-only feature, we flag it before you commit so there are no surprises.

What about support and updates after go-live?

Every build includes a post-go-live support window for defect fixes and configuration adjustments, plus full git repo handover so you own the code. Version upgrades and enhancements beyond that window are quoted as a separate maintenance scope.

Where does the AI recognition run, and is my data safe?

The recognition provider is a scoping decision. We can wire a cloud AI service or a self-hosted/on-prem engine depending on your data-residency needs, and card images are stored as standard Odoo attachments governed by your access rules and record rules.

Can it feed our existing badge scanners or event app?

Yes. The module exposes its create-lead path over Odoo's XML-RPC/JSON-RPC API, so an external badge scanner, kiosk, or event app can push cards straight into CRM without anyone using the Odoo UI. That integration is part of the scoped build.

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कोटेशन का अनुरोध करें

AI Business Card Reader

A build-to-order Odoo module that turns photographed or scanned business cards into structured CRM leads and contacts using AI text recognition. ECOSIRE scopes, builds, installs, and supports it on your Odoo 17, 18, or 19.

  • Mobile-friendly OWL capture widget plus a QWeb upload action that stores each card image as an `ir.attachment` on a dedicated `card.scan` record
  • AI text-region detection and field classification into name, title, company, phone, mobile, email, website, and structured postal address
  • `@api.depends` compute + normalization layer that maps raw extraction onto native `res.partner` and `crm.lead` fields (phone/email format, country, state)
  • Automatic company resolution: creates or links the parent `res.partner` company and attaches the person as a child contact

कोटेशन का अनुरोध करें

हमें AI Business Card Reader के लिए अपनी ज़रूरतें बताएं और हम आपको कीमत, लाइसेंस विकल्प और एक अनुकूलित प्रस्ताव भेजेंगे — आमतौर पर एक कार्यदिवस के भीतर।

अभी कोई भुगतान नहीं। यह हमारी टीम को एक कोटेशन अनुरोध भेजता है — हम कीमत और अगले चरणों के साथ ईमेल द्वारा संपर्क करेंगे।