Data Panda brings the structured fields Parseur extracts from your emails, PDFs and attachments together with the data from the rest of your business. From one place, we turn parsed documents into dashboards, automations, AI workflows and custom apps your team uses every day.
Parseur was founded in 2016 by Sylvestre Dupont and Sylvain Josserand, and has stayed bootstrapped and profitable since. It started as a rule-based email parser and grew into a full document-processing platform, with template-based extraction, AI-assisted field detection and OCR for image-based PDFs all running in the same mailbox. Documents arrive by forwarded email, upload, API or one of the automation platforms, and clean fields come out the other side.
The point of pulling Parseur into a warehouse is that a parsed document is rarely the finish line. An extracted order line wants to sit next to the customer in your CRM and the SKU in your ERP. A lead alert from a real-estate platform belongs on the deal record, not in a separate spreadsheet. An invoice extracted from a supplier email needs to match the purchase order before it is paid. On its own a Parseur document is a row in an export; joined to your CRM, ERP and operational data it becomes a record you can report on, match and automate against.
Parsed fields, mailbox volume and extraction quality trended next to the customer, supplier and deal record they belong to.
Let a parsed Parseur document trigger the rest of your stack, with the structured fields the parser already extracted.
Use AI on the parsed fields, not on the raw email, so the model works on clean structured input.
Internal tools on Parseur output for people who never open the Parseur dashboard.
A list of concrete reports, automations and AI features we have built on Parseur data. Pick the one that matches your situation.
Which templates and senders cause the most extraction failures?
Per-template fields-extracted ratio, AI fallback rate and the share of documents that land in the unparsed queue, trended per sender domain. Separates a template that quietly broke after a sender redesign from a template that has always been fragile, so the right fix gets prioritised.
Are parsed orders, invoices and leads reaching the system that matters?
Parsed Parseur records joined to their downstream system match: orders to the ERP sales order, invoices to the open PO, leads to the CRM deal. Surfaces the documents that were extracted cleanly but never landed in the system of record, which is the kind of silent failure a webhook log will not show on its own.
Parsed supplier invoices matched against open purchase orders before approval routing, with extraction-quality flags on the exceptions. Accounts payable stops re-keying invoices and starts working only the lines that genuinely need a human.
Inbound lead alerts from portals and partner emails parsed into deal records with property, price and source platform already attached. Reps open a deal with the context the alert carried, instead of clicking through the original email each time.
Order, shipping and confirmation emails parsed into one operational table with template, mailbox and sender attribution. Document inflow becomes a measurable piece of the workflow, not a shared inbox someone watches.
Every lead alert Parseur extracts from portal or partner emails creates or updates a HubSpot contact and opens a deal, with property fields, source platform and asking price mapped onto custom properties. Sales opens the deal with the alert already structured, instead of forwarding the original email to themselves the next morning.
Parseur-extracted lead and order emails create or match a Salesforce lead, contact or opportunity, with the structured fields mapped to the right object. Routing rules fire on parsed source and parsed value, so the right rep gets the right document first instead of working a shared mailbox.
Parsed PDF and email invoices arrive next to the open purchase orders in Exact Online, matched on supplier, PO number and line total. The matched ones queue for booking; the exceptions land on a review list with the field that did not match flagged, so accounts payable only opens the invoices that genuinely need attention.
Parseur extracts customer order emails into structured lines, matches each line to the SKU in Business Central and the customer in the master data, and creates the sales order with quantities, prices and delivery date. Customer service stops typing orders into the ERP and starts handling only the lines that did not match cleanly.
A parsed Parseur document creates an item on the operational monday.com board that owns it: orders on the order-handling board, leads on the sales board, candidate CVs on the recruitment board. The item carries the extracted fields as columns, so the team that picks it up sees the structured data instead of the original attachment.
Parseur documents that fall back to the unparsed queue, that fail validation on a critical field, or that match a high-value condition (large invoice, priority sender) post into the channel that owns them, with the extracted fields and a link back to the source. The team sees the exception in the same place they already work, instead of monitoring the Parseur dashboard.
These are the 2 tables we currently pull from Parseur into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Parseur data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
We review your Parseur setup and the systems around it. Together we pick the first thing worth building.