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Interested in Inbox automation? Discover top 7 tools in 2025-2026 for extracting data from Gmail attachments — compared for strengths, limitations, and best-fit use cases.
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Why Gmail Attachments Data Extraction
In 2025 and beyond, Gmail remains the entry point for business-critical documents: this is where the invoice processing for Finance teams starts from, where purchase orders confirmations arrive, where contracts are being processed for the Legal departmet, where shipping manifests and other AI workflows for Logistics and supply chain begin… But manually downloading attachments and re-keying data is slow, error-prone, and expensive.
The solution? AI-powered data extraction tools that connect directly to Gmail, read attachments (PDFs, images, spreadsheets), and route structured data into your business systems.
Here are the top 7 tools in 2025-2026 for extracting data from Gmail attachments — compared for strengths, limitations, and best-fit use cases.
The #1 AI-Driven Automation & Document Processing Platform
Zenphi is a go-to platform for document-centric business processes automation. It stands out as a tool with the best time-to-value for document processing and inbox automation for teams utilizing Gmail, Sheets, Drive, Docs and other Google Workspace services.
Top 7 Tools to Extract Data from Gmail Attachments In 2025-2026
1. Zenphi
Best for: End-to-end Gmail automation with AI-powered data extraction.
Zenphi is a Google Workspace-native AI workflow automation platform. It not only extracts data from Gmail attachments using AI but also routes it into Sheets, Drive, ERPs, or approval workflows.
- AI Workflows Supported: Invoice extraction, PO validation, shipping manifest parsing, compliance document routing.
- Pros: Native Gmail integration, built-in AI models (Gemini, OpenAI), HIPAA-compliant, exception handling with human-in-the-loop.
- Cons: Focused on business/operations use cases, less about marketing tools.
- Pricing: Usage-based (operations), not per seat.
2. Zapier
Best for: Simple integrations with Gmail and third-party AI services.
Zapier connects Gmail to hundreds of apps and supports AI via OpenAI connectors. Extraction is done by routing attachments through AI OCR or LLM services (not included in Zapier fees).
- AI Workflows Supported: Invoice classification, extracting totals from PDFs, sending structured data to Sheets.
- Pros: Very easy to set up, large app library.
- Cons: AI isn’t embedded — requires external APIs, costs scale with volume.
- Pricing: Free tier; paid from $19.99/month.
3. Make (Integromat)
Best for: Visual workflows combining Gmail with AI APIs.
Make, just like Zenphi — one of the strongest Make alternatives — offers a drag-and-drop workflow builder where Gmail attachments can be passed through OCR or AI services for data extraction.
- AI Workflows Supported: Data parsing, summarizing long docs, extracting fields.
- Pros: Visual, flexible, supports branching workflows.
- Cons: Relies on external AI APIs; fragile at high scale.
- Pricing: Free plan; paid from ~$10/month.
4. Nanonets
Best for: AI-first document extraction from Gmail.
Nanonets specializes in OCR + AI document processing. Attachments from Gmail can be processed to extract structured data, then routed into ERPs or CRMs.
- AI Workflows Supported: Invoice/receipt parsing, ID verification, shipping document extraction.
- Pros: High accuracy for document AI, supports custom models.
- Cons: Focused on document extraction only, not orchestration.
- Pricing: From ~$499/month.
5. Google Cloud Document AI
Best for: Developers building custom Gmail extraction workflows.
Google’s Document AI offers powerful extraction models (invoices, receipts, contracts). Gmail attachments can be routed into Document AI via APIs.
- AI Workflows Supported: Structured extraction from financial and logistics documents.
- Pros: High accuracy, enterprise-grade AI.
- Cons: Requires development effort, not no-code.
- Pricing: Pay-per-use API pricing.
By the way, if you’re not a developer but trust Google more than other platforms, you can access Google Document AI via Zenphi. Zenphi is listed on Google Cloud marketplace — meaning, you can be billed directly by Google for Zenphi’s automation services.
6. UiPath
Best for: Enterprises combining Gmail with RPA + AI OCR.
UiPath extends its RPA platform to Gmail and document AI workflows, particularly for large organizations.
- AI Workflows Supported: Invoice ingestion, ERP integration, claims processing.
- Pros: Enterprise features, compliance-ready.
- Cons: Complex and expensive, requires skilled implementation.
- Pricing: Enterprise-level, custom pricing.
7. n8n
Best for: Open-source enthusiasts building custom Gmail + AI pipelines.
n8n is an open-source automation tool that integrates with Gmail and can call external AI services for data extraction.
- AI Workflows Supported: Custom AI parsing pipelines, enrichment, classification.
- Pros: Self-hosted, open-source, flexible.
- Cons: Requires technical setup, compliance is user’s responsibility.
- Pricing: Free self-hosting; cloud plans from $20/month.
Verdict: Which Tool Should You Choose?
Choosing the right tool depends on your team’s size, compliance needs, and the complexity of your workflows:
Zenphi is the strongest fit. It was purpose-built for Gmail and Google Drive, embedding AI data extraction from Gmail directly into workflows. Unlike Zapier or Make, it doesn’t just “connect” to an AI model — it operationalizes AI inside structured approval flows, with exception handling and compliance baked in. If your invoices, POs, or shipping documents primarily arrive in Gmail, Zenphi offers the fastest time-to-value, quality and pricing.
Zapier and Make are good entry points. They’re ideal if you just need to push extracted totals from a PDF invoice into Google Sheets or send an attachment through a third-party OCR API. They’re flexible, but you’ll hit limitations quickly if you need compliance, complex validation, or high document volumes. However, if your workflows get a little bit more demanding, try Zapier alternative.
Nanonets, Zenphi and Google Document AI shine when your focus is raw document parsing. They’re highly accurate for extracting fields from invoices, receipts, and shipping documents and delivery notes data extraction (Zenphi is especially efficient for workflow automation in supply chain and logistics). However, there’s a difference. Nanonets and Google Document AI are not orchestration tools, meaning you’ll need to combine them with another platform (like Zenphi, Make, or custom code) to complete the workflow. When Zenphi is a full-fledge automation platform that allows to combine high accuracy in data extraction with business process automation capabilities.
UiPath is best suited if your Gmail attachments need to flow into on-premise ERP systems or other legacy software. Its combination of RPA + AI OCR is powerful, but costly and complex to implement.
n8n is the right choice if you want full control and don’t mind building and hosting your own pipelines. It’s flexible but places the burden of compliance, scaling, and support entirely on your team.
Bottom line
If you want Gmail attachment data extraction as part of a scalable, compliant, AI-powered workflow, Zenphi is the clear winner in 2025. For smaller tasks or experimental projects, Zapier, Make, or n8n might suffice. For enterprises with deep legacy integration needs, UiPath remains the standard.
FAQs About Tools to Extract Data from Gmail Attachments
Use an AI workflow automation tool like Zenphi, which natively connects to Gmail and extracts structured data without coding.
Yes. Tools like Zenphi, Nanonets, and Google Document AI are great for extracting structured fields from unstructured or scanned documents and PDFs.
Not necessarily. Zenphi, Zapier, and Make provide no-code environments. UiPath and Google Document AI require technical expertise.
Zenphi (HIPAA-compliant) or UiPath/Automation Anywhere for enterprise-grade controls.
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