Swiftask integrates with PDF.co to turn your static PDF files into searchable knowledge bases in natural language, instantly.
Result:
Stop wasting time manually browsing through hundreds of pages. Find the exact information in seconds.
Searching for information in PDFs has become a bottleneck
Companies accumulate thousands of PDFs: invoices, contracts, technical reports. Classic keyword search often fails with complex documents, tables, or poor-quality scans. Teams waste hours locating critical data.
Main negative impacts:
Swiftask uses PDF.co to intelligently extract text and data from your documents. Your AI agent can then analyze, compare, and answer complex questions about your entire document library.
BEFORE / AFTER
What changes with Swiftask
The traditional method
You need to extract a specific clause from a 50-page contract. You open each file, run a Ctrl+F search, read the document, copy the data, then paste it into your business tool. If you have 100 files, the task becomes impossible.
The Swiftask + PDF.co approach
You ask a question in natural language to your AI agent: 'What is the due date of this contract?'. The agent automatically queries PDF.co, extracts the text, analyzes the context, and gives you the exact answer instantly.
Automate your PDF searches in 4 steps
STEP 1 : Connect your document source
Configure Swiftask to monitor your folders (Google Drive, SharePoint, email) containing your PDF documents.
STEP 2 : Integrate PDF.co
Activate the PDF.co connector in Swiftask. This service will handle high-precision OCR and text extraction.
STEP 3 : Define your AI queries
Teach your agent what to look for. Define extraction templates to capture key data automatically.
STEP 4 : Query your documents
Ask your questions via the Swiftask interface or automate extraction to your CRM/ERP via webhooks.
Advanced document analysis capabilities
Your AI agent treats the document as structured data. It understands entities (dates, amounts, names), context, and relationships between information.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-pdf.co@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Gain document agility
1. Extraction precision
Thanks to PDF.co's state-of-the-art OCR, even scanned or low-quality documents are perfectly read.
2. Massive time savings
Automate data entry and document research. Free your teams from repetitive tasks.
3. Total interoperability
Extracted data can be sent automatically to any tool via Swiftask integrations.
4. Error reduction
Eliminate typos and human errors linked to manual document reading.
5. Semantic search
Don't search by keyword anymore, search by concept. The AI understands the meaning of your questions.
Data security and privacy
Swiftask applies enterprise-grade security standards for your pdf.co automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your productivity
| Metric | Before | After |
|---|---|---|
| Search time | Several minutes per document | A few seconds |
| Data entry error rate | 5% to 10% (human) | Close to 0% (AI) |
| Processing volume | Limited by human capacity | Unlimited and scalable |
| Document ROI | High operational cost | Drastically reduced unit cost |
Take action with pdf.co
Stop wasting time manually browsing through hundreds of pages. Find the exact information in seconds.