# Dust vs Parseur Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Parseur records 132,677 monthly visits with -16.3% growth and Freemium, Free Trial, Contact for Pricing pricing. | Metric | [Dust](https://openaitools.app/tool/dust) | [Parseur](https://openaitools.app/tool/parseur-com) | | :--- | :--- | :--- | | Website URL | https://dust.tt | https://parseur.com | | Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Document Extraction, AI OCR, AI PDF, AI Data Mining | | Pricing Model | Contact for Pricing | Freemium, Free Trial, Contact for Pricing | | Monthly Visits | 547,217 | 132,677 | | MoM Growth Rate | +1.8% | -16.3% | | Primary Market | France | United States | | Direct Visits | 456,919 | 36,671 | | Review Score | 4.4 | 4.4 | | Saved Count | 5 | 1 | | Supported Platforms | Website | Website | ## Dust Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters. The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway. Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform. **Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. - **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses. - **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat. - **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task. - **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast. - **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in. **Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments **Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams [Profile (Markdown)](https://openaitools.app/tool/dust.md) ## Parseur Parseur solves the copy-paste problem teams face when information arrives as PDFs, scans or email bodies. You forward a document to a dedicated mailbox, drag it into the app, or push it through the API, and Parseur identifies the document type, extracts the fields you named in plain English, and normalizes and validates each one before export. Because new layouts are handled by the AI engine rather than a hand-built template, a vendor changing its invoice format does not break your workflow. Outputs are designed to land where your team already works: Excel and CSV downloads, Google Sheets, webhooks, or thousands of applications through Zapier, Make and n8n. The platform also keeps a full audit trail so every processed document can be traced back to the record it produced, with alerts whenever a document needs a human look. The service is aimed at operations, finance, property, logistics, retail and HR teams who process high volumes of structured paperwork. It is EU-hosted, states compliance with GDPR, CCPA and PDPA, is SOC 2 Type II compliant with HIPAA in progress, and applies TLS 1.2+ encryption in transit and AES-256 at rest. A free tier includes a monthly page allowance, and paid plans scale with volume. **Pricing & Plans:** Free to start with a monthly page allowance included, then pay-as-you-grow plans that scale with document volume and features. Enterprise pricing is available on request. - **Vision AI and Text AI extraction:** Name the fields you want in plain English and the AI pulls them from clean digital PDFs, blurry scans and email bodies, adapting to new layouts automatically. - **Multiple document intake channels:** Forward documents to a dedicated email address, drag and drop them in the app, or push them in via the API, webhooks or automation platforms. - **OCR for scans and images:** Character recognition converts photographed receipts and scanned paperwork into machine-readable text before extraction. - **Normalization and validation:** Format, clean and validate every extracted field so totals, dates and IDs arrive consistent rather than as raw strings. - **Exports and 1,000+ integrations:** Download as Excel, CSV or JSON, or send parsed data in real time to Google Sheets, CRMs, ERPs and thousands of apps through Zapier, Make and n8n. **Strengths:** Handles messy real-world inputs including blurry scans and emails, not just clean PDFs; No template building required for new layouts when using the AI engines; Broad integration coverage through Zapier, Make, n8n and a documented API; Strong compliance posture with EU data residency, SOC 2 Type II and GDPR alignment **Limitations:** Pricing scales with page volume, so very high-throughput teams need a custom quote; Extraction accuracy still depends on document legibility and field naming; Advanced validation logic has a learning curve for non-technical operators [Profile (Markdown)](https://openaitools.app/tool/parseur-com.md) ## Frequently Asked Questions ### How do Dust and Parseur compare in monthly traffic? Dust has 547,217 monthly visits, while Parseur has 132,677. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Dust has a month-over-month growth rate of +1.8%; Parseur has -16.3%. ### How does pricing compare? Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. Parseur: Freemium, Free Trial, Contact for Pricing. Free to start with a monthly page allowance included, then pay-as-you-grow plans that scale with document volume and features. Enterprise pricing is available on request. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) | | 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) | | 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) | | 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) | | 5 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) | | 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) | | 7 | [Image to Text CC](https://openaitools.app/tool/image-to-text-cc) | 308,299 | +0.6% | Freemium | Free online OCR that turns images and scans into editable text | [.md](https://openaitools.app/tool/image-to-text-cc.md) | | 8 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) | | 9 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) | | 10 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) | --- Source: https://openaitools.app/compare/dust-vs-parseur-com More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)