Customer
Operations teams transferring information from emails, invoices and other documents into their working tools.
Browser storage is unavailable. Keep this page open and export your collection before leaving.
Email and document extraction configured with field descriptions.

Operations teams transferring information from emails, invoices and other documents into their working tools.
Incoming files vary in layout, while downstream tools still require consistent named fields and tables.
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
Previously led outsourcing transition and transformation projects at Accenture. Leads product strategy and research and development at Parseur.
Parseur: team and founder backgrounds
Software engineer and Python specialist who designed Parseur's parsing engine and oversees its architecture and infrastructure.
Parseur: team and founder backgroundsDocument processing positioned around automating extraction from emails and PDFs, then sending structured data into connected applications.
Brand sourceParseur 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 2026AI extraction is configured with field names, output formats and instructions rather than requiring a template for every layout.
Parseur: AI parsing engine guideAI and template engines can operate together, with field-level control over which values use AI extraction.
Parseur: AI parsing engine guideParseur positions itself as a document-capture layer that feeds downstream systems, rather than performing payment execution or three-way invoice matching.
Parseur: AI in accounts payable, 8 September 2026Sourced product choices; not a claim of uniqueness or a proven competitive moat.
A sample document enters a mailbox and produces suggested fields.
Field names, formats and instructions are refined before reprocessing and review.
Results are downloaded or delivered through an integration or webhook.
Documents can be uploaded, emailed to a dedicated address or sent through an API.
Parseur product overviewAI extraction uses field names and instructions; users can refine fields and reprocess documents.
Extract data using the AI parsing engineThe help guide explicitly notes that AI extraction may need templates or manual correction.
Extract data using the AI parsing engineField names and instructions configure the extraction. File intake, review and delivery surround the AI output with a repeatable operational process.
Plausible extracted values can still be incorrect; verification and exception handling remain necessary when downstream decisions depend on the data.
Company, founder and investor sources. Product claims are not independent testing; funding announcements do not establish revenue or profitability.
Send parsed data straight to the apps, spreadsheets, and databases your team already uses.
AI is a probabilistic model and may not always achieve 100% accuracy.
Start on our free tier, which includes 20 pages every month.
Sylvain is Co-Founder and CTO of Parseur, overseeing the platform's architecture and global infrastructure.
None, Parseur is 100% owned and funded by its founders
Bootstrapped since 2016
In mailboxes where the AI engine and templates work in tandem
Creating a new mailbox has never been easier.
The company timeline dates Parseur v0 to December 2016. This is a product release date, not a verified legal incorporation date.
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.