Route AlgoDocs extracted data to any tool in one click
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"PixieBrix has solved one of our hardest operational problems - streamlining communication & product updates across support teams. Tracking and keeping everyone in the loop has yielded better agent performance, customer satisfaction & taken a huge burden off management."

Thatcher Foster

VP, Client Solutions

Top reasons to automate AlgoDocs in the browser
One-click button pushes AlgoDocs extraction results directly into accounting software, ERP records, or spreadsheet rows, closing the loop on manual data entry
Web Clipper uploads documents from any web page to AlgoDocs for extraction without navigating to the AlgoDocs UI, saving steps in document intake workflows
AI Copilot sidebar helps users verify and correct extracted data by comparing AlgoDocs output against the source document open in another tab
Cross-app automation creates a downstream record (invoice, purchase order, expense entry) in a target system as soon as AlgoDocs confirms successful extraction
PixieBrix works as a browser extension on AlgoDocs without requiring changes to the extraction pipeline or API configuration
Connect AlgoDocs to 3000+ tools including internal platforms that lack native integrations. No custom development required.
Integrate AlgoDocs with 3000+ apps
AlgoDocs frustrations that cost your team hours every week
  • After AlgoDocs extracts data from a document, users must manually copy the structured output into accounting software, ERP systems, or spreadsheets - recreating the manual step they wanted to eliminate
  • Uploading documents to AlgoDocs requires navigating to the app and manually selecting files rather than clipping directly from the web page where the document was found
  • Teams reviewing extraction results must switch between AlgoDocs and downstream tools to verify accuracy, slowing the validation step
  • No native way to trigger a downstream workflow (e.g., create an invoice record, update a ledger) directly from the AlgoDocs results page
  • Support requests and extractor configuration requests are handled through separate channels, making it hard to track the status of customization work

Chat with AI to create your first custom workflow

Compare the extracted data fields visible on this AlgoDocs results page with the original document. List any discrepancies where the extracted value does not match what appears in the source document.
Based on the extracted invoice data on this page, write a one-paragraph approval summary including vendor name, invoice date, total amount, line-item categories, and any unusual items worth flagging.
Take the extracted fields visible on this page and reformat them as a CSV row matching these column headers: Vendor, Invoice Number, Date, Amount, Category. Output only the CSV row, no explanation.
Review the extraction result on this page and identify any fields that are blank or marked as low-confidence. List them and suggest where in the source document each missing value is likely located.
Extract all text and table data from this web page or attached document view, and format it as structured key-value pairs ready for entry into a document processing system.
Based on the extracted document data visible on this page, draft a brief internal note explaining why this document should be rejected or returned for correction, citing the specific issue found.

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Frequently Asked Questions

PixieBrix is designed for teams that want to move faster without heavy engineering effort. It is commonly used by support teams, operations teams, product teams, and technical teams who need to connect tools, reduce manual work, and ensure the right information reaches the right people at the right time.

PixieBrix is a browser-based automation platform that lets you customize how the tools you already use work together. It allows teams to add context, automate workflows, and create guided experiences across apps like support tools, internal dashboards, and SaaS products without building or maintaining custom integrations.

PixieBrix works by layering automation directly into the browser. It can read data from the page you are viewing, connect to APIs, and trigger actions like sending messages, filling forms, or enriching data in real time. This lets teams automate workflows exactly where work is already happening.

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