Multi-engine document parsing
Parseur can route documents through Vision AI, Text AI, templates, or OCR within the same mailbox, which lets different document types use the parsing method that fits them best.
Parseur
Freemium
Extraction de données par IA depuis des documents pour apps et workflows
Qu'est-ce que Parseur ?
Parseur is an AI data extraction platform for turning PDFs, emails, scans, and other documents into structured data. The site positions it as a way to automate document data capture without manual copy-pasting, while keeping outputs ready for downstream systems.
The product combines document intake, extraction, normalization, validation, and delivery in one workflow. Users can upload samples, forward emails, use the API, or connect documents to the mailbox, then review field suggestions and send the extracted data to apps, spreadsheets, or webhooks in real time.
Que peut faire Parseur ?
Mailbox-level schemas
Extracted values are mapped to a fixed mailbox schema, so every document in a workflow lands in the same field structure for downstream systems.
Field normalization and formatting
Dates, numbers, addresses, names, and other fields can be normalized into consistent formats before export, helping reduce cleanup work in connected tools.
Data validation and alerts
Validation checks can flag missing required fields, out-of-range choices, or schema mismatches, and the site notes that failures can trigger UI alerts, email notifications, and webhooks.
Post-processing rules
Optional Python post-processing rules can combine, split, compute, or reshape values after extraction; this capability is available on Pro plan and above.
Export and integration options
Extracted data can be delivered through CSV, Excel, JSON, Google Sheets, Zapier, Power Automate, Make.com, webhooks, or the API, depending on the workflow.
Cas d'utilisation
“Invoice and AP automation”
Accounts payable teams can extract invoice and purchase-order data, then route it into accounting systems with normalized fields and validation checks.
“Logistics document processing”
Operations teams in logistics and supply chain can convert shipping and delivery documents into structured records for logistics tools and workflow tracking.
“Resume and HR parsing”
HR teams can parse resumes and other HR documents into clean fields for applicant tracking or internal HR systems.
“Real-estate and lead intake”
Sales and operations teams can turn incoming emails and property-related documents into structured CRM records for lead and real-estate workflows.
“Automated export to connected tools”
Teams that need spreadsheet or app updates can send extracted data to Google Sheets, CSV, Excel, JSON, Zapier, Make.com, Power Automate, webhooks, or the API.
Questions fréquentes
How does Parseur ingest documents?
Parseur accepts documents from emails, file uploads, and API-based workflows, then delivers extracted data to downstream tools in real time.
Where can extracted data be sent?
Parseur supports CSV, Excel, JSON, Google Sheets, Zapier, Power Automate, Make.com, webhooks, and API-based exports according to the site and pricing details.
Does Parseur require template training?
The product combines AI parsing, template parsing, and OCR-based document handling in the same mailbox, with setup described as starting from a sample document and field suggestions.
Is there a free plan?
The pricing page shows a free tier and paid plans, with the free tier including up to 20 pages per month and one user.
Is Parseur suitable for team workflows?
Parseur is built for production use with audit logs, real-time tracking, and support for multiple users on higher plans.
Informations rapides
- Category
- AI data extraction software
- Platform
- Web app and API
- Primary inputs
- PDFs, emails, scans, and attachments
- Outputs
- CSV, Excel, JSON, Google Sheets, integrations, webhooks, API
- Pricing
- Free tier available; paid volume-based plans
- Source domain
- parseur.com
Analyse du trafic de Parseur
Les données de trafic sont fournies à titre indicatif uniquement.
- Évaluation du domaine
- 70
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