Email and document extraction configured with field descriptions.

Product launched 2016-12Origin source ↗Checked 2026-09-22
Product view

The business

Customer

Operations teams transferring information from emails, invoices and other documents into their working tools.

Problem

Incoming files vary in layout, while downstream tools still require consistent named fields and tables.

Founders & origins

Founded by Dupont and Josserand, Parseur released its first public version in December 2016. It added attachment parsing in 2017, PDF OCR in 2022 and an AI parsing engine in 2023, according to its company timeline.

Parseur: company facts and timeline, updated 24 February 2026
Sylvestre Dupont, Parseur co-founder

Sylvestre Dupont

Co-founder and CEO

Previously led outsourcing transition and transformation projects at Accenture. Leads product strategy and research and development at Parseur.

Parseur: team and founder backgrounds
Sylvain Josserand, Parseur co-founder

Sylvain Josserand

Co-founder and CTO

Software engineer and Python specialist who designed Parseur's parsing engine and oversees its architecture and infrastructure.

Parseur: team and founder backgrounds

Brand & positioning

Document processing positioned around automating extraction from emails and PDFs, then sending structured data into connected applications.

Brand source

Capital & ownership

Parseur states that it is entirely owned and funded by its founders. Its September 2026 company blog describes it as bootstrapped since 2016; no investor round is reported in these sources.

Parseur: company facts and timeline, updated 24 February 2026Parseur: AI in accounts payable, 8 September 2026

Product distinctions

Sourced product choices; not a claim of uniqueness or a proven competitive moat.

Workflow

Documentation summary
  1. 01

    A sample document enters a mailbox and produces suggested fields.

  2. 02

    Field names, formats and instructions are refined before reprocessing and review.

  3. 03

    Results are downloaded or delivered through an integration or webhook.

Features

Product approach

Editorial analysis

Field names and instructions configure the extraction. File intake, review and delivery surround the AI output with a repeatable operational process.

Constraints

Plausible extracted values can still be incorrect; verification and exception handling remain necessary when downstream decisions depend on the data.

Sources 11 references

Company, founder and investor sources. Product claims are not independent testing; funding announcements do not establish revenue or profitability.

  1. Parseur product overview Checked 2026-09-22
    Send parsed data straight to the apps, spreadsheets, and databases your team already uses.
  2. Extract data using the AI parsing engine Checked 2026-09-22
    AI is a probabilistic model and may not always achieve 100% accuracy.
  3. Parseur volume-based pricing Checked 2026-09-22
    Start on our free tier, which includes 20 pages every month.
  4. Parseur: team and founder backgrounds Checked 2026-09-22
    Sylvain is Co-Founder and CTO of Parseur, overseeing the platform's architecture and global infrastructure.
  5. Parseur: company facts and timeline, updated 24 February 2026 Checked 2026-09-22
    None, Parseur is 100% owned and funded by its founders
  6. Parseur: AI in accounts payable, 8 September 2026 Checked 2026-09-22
    Bootstrapped since 2016
  7. Parseur: AI parsing engine guide Checked 2026-09-22
    In mailboxes where the AI engine and templates work in tandem
  8. Parseur: AI engine v2 release, 22 August 2024 Checked 2026-09-22
    Creating a new mailbox has never been easier.
  9. Brand & positioning Checked 2026-09-22 · Brand reference
  10. Brand image Checked 2026-09-22 · Brand reference
  11. Foundation Checked 2026-09-22 · Brand reference
    The company timeline dates Parseur v0 to December 2016. This is a product release date, not a verified legal incorporation date.
Maturity: Operating · 6 of 6 areas documented

Editorial assessment

Parseur reports businesses using its document extraction service daily and a history of product releases. This supports an operating product; the usage claims are company-reported.

Parseur: customer use and product timeline Checked 2026-09-23

Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.

Stage definitions