https://parseur.com/use-case/automate-work-orders
Work-Order Automation
Data Center Infrastructure Management Systems
Industrial Operations
Data-Augmenters
Document Intelligence

Retrieved sources

Parseur —

https://parseur.com/ [E1]
yaml 
founded_year: "2016"
name: Parseur
headquarters:
  address: "160 Robinson Road #14-04, Singapore, 068914, SG"
  city: Singapore
  country: Singapore
workforce:
  total: 6
financials:
  revenueAnnual: 1200000
Parseur is an AI data-extraction software company that automates extraction from PDFs, emails, spreadsheets, and attachments, then sends structured data to downstream applications in real time via integrations or webhooks. [E1]

Value Proposition & Features

Parseur is positioned as a managed intelligent document processing platform: it handles document intake, extraction, validation, and delivery rather than returning only raw OCR text. [1959sp] It is intended to let operations and technical teams automate document workflows without building and maintaining a complete extraction pipeline. [sp7tzw]
Key features, in priority order:
  • AI document extraction: AI Vision reads PDFs, scans, images, tables, handwriting, checkboxes, stamps, and signatures, while AI Text handles text-based documents such as emails and spreadsheet exports. [uwhv1n] [i5yn4o]
  • Template-free extraction: Users describe desired fields in plain language, and the AI engine identifies them across varying layouts without requiring a separate positional template for each sender. [uwhv1n]
  • Multi-channel intake: Documents can arrive through email mailboxes, manual upload, or API submission. [uwhv1n]
  • Structured output: Parseur returns extracted fields and tables as structured data, including JSON delivery through webhooks. [1959sp]
  • Validation and review: The workflow supports field validation, exception review, and inspection of extracted values alongside the source document. [1959sp] [uwhv1n]
  • Integrations: Parseur connects with Google Sheets, Excel, Zapier, Make, Microsoft Power Automate, n8n, accounting platforms, and other downstream applications. [1959sp] [uwhv1n] [9ca01x]
  • API and webhooks: Developers can submit documents through an extraction API and deliver results to their own systems through APIs or webhooks, with retry and delivery-log capabilities. [1959sp]
  • Data controls: Parseur supports configurable mailbox retention, including a “Process Then Delete” option, and states that customer data is processed and stored in the European Union with AES-256 encryption at rest. [68j3dq]

Product Roadmap / Announcements

As of October 8, 2026 , the gathered results identify the following recent product announcements:
  • August 2024: Parseur shipped AI engine v2 , following the introduction of its template-free AI parsing engine in 2023. [i5yn4o]
  • September 21, 2026: Parseur published updated guidance describing its managed extraction workflow, including structured delivery through APIs, webhooks, and automation integrations. [1959sp]
  • September 29, 2026: Parseur described its default engine as AI Vision v3 , designed for complex PDFs, scanned documents, images, handwriting, checkboxes, tables, stamps, and signatures. [i5yn4o]

Recent Developments

  • On October 2, 2026 , Parseur updated material describing managed document processing, including intake, validation, webhook retries, delivery logs, and downstream integrations. [1959sp]
  • On October 6, 2026 , Parseur updated its data-residency and GDPR material, documenting EU processing and storage, AES-256 encryption at rest, configurable retention, and published subprocessors. [68j3dq]
  • On October 7, 2026 , Parseur updated its accounts-payable automation material, positioning the product as a capture layer for extracting invoice, receipt, and purchase-order data for accounting workflows. [9ca01x]
  • No independent third-party news coverage was identified in the gathered results.

History and Origin Story

Parseur was founded in 2016 and is headquartered at 160 Robinson Road # 14-04, Singapore. [E1] The available material indicates an evolution from template-based parsing toward template-free AI extraction, with an AI parsing engine introduced in 2023 and AI engine v2 released in August 2024. [i5yn4o] No reliable source found in the gathered results naming the founders or documenting the original founding story.

Market Sizing

Category, Market Size, and Category Growth

Parseur fits the intelligent document processing (IDP) and AI document extraction categories because it ingests documents, extracts structured fields and tables, validates results, and delivers data to business systems. [1959sp] [sp7tzw] No reliable analyst-firm or financial-journalism market-size or category-growth estimate was identified in the gathered results.

Pricing

Tier / usage example Published price
1,000 pages per month, monthly billing $99
50,000 pages per month, annual billing $29.98 per 1,000 pages
Parseur states that its pricing is published, with the same extraction features across plans and no implementation project. [sp7tzw]

Revenue Trajectory Estimates

The retrieved company metadata reports annual revenue of $1.2 million . [E1] No time series, ARR history, or independently verified revenue-growth data was identified.

Competitive Landscape

Who it's for, who it's not for

Parseur is aimed at operations, finance, logistics, accounting, and technical teams that receive recurring PDFs, emails, spreadsheets, invoices, statements, or other semi-structured documents and need to turn them into validated data for downstream systems. [1959sp] [uwhv1n] [9ca01x]
It is less suited to buyers seeking only raw OCR text, direct custodian or brokerage APIs, or a fully bespoke enterprise implementation; Parseur is presented as a managed document-processing layer, and it does not directly connect to brokerage or custodian APIs. [uwhv1n] [sp7tzw]

Viable Alternatives

  • OCR APIs: Suitable when engineering teams want raw text, page positions, or coordinates and will build their own extraction and delivery logic. [1959sp]
  • Multimodal LLM APIs: Flexible for teams that want to construct a custom document-understanding pipeline, but they require the buyer to implement surrounding validation and delivery workflows. [1959sp]
  • Regex and rule-based extraction: Appropriate for highly predictable document formats where deterministic rules are preferred. [1959sp]
  • Enterprise IDP platforms: Relevant to organizations seeking broader implementation services or heavyweight enterprise document-processing deployments. [sp7tzw]
  • Custom extraction pipelines: Suitable for teams that need complete control over ingestion, processing, storage, validation, and delivery. [1959sp]

Competitor Table

Competitor Description
Google Cloud Vision OCR-oriented tooling that returns machine-readable text and document positions; additional structuring and workflow logic generally must be built by the customer. [1959sp]
AWS Textract Cloud document-analysis tooling suited to teams building custom extraction pipelines around OCR and structured document data. [1959sp]
Azure AI Document Intelligence Enterprise document-understanding tooling that can serve as a foundation for custom extraction and business-process workflows. [sp7tzw]
UiPath Broader enterprise automation and IDP platform suited to organizations seeking extensive automation capabilities and implementation support. [sp7tzw]
Rossum Intelligent document-processing alternative focused on extracting structured business data from documents and routing it into operational workflows. [sp7tzw]

Sources

Sources (retrieved)

[E1] Exa.ai API response for data on Parseur