Toolspool.ai

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👁 31K/mo
parseur.com
✓ verifiedPaid

AI data-extraction software pulling structured data from PDFs, emails, and documents.

👁 152K/mo4.6K
👁 21K/mo
👁 1.5M/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K
Pricing
Forever Free: $0
Basic: $19
Professional: $49
Agency: $149
Free: Free
Base: Volume-based
Growth: Volume-based
Scale: Volume-based
Enterprise: Contact for Pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing

No public pricing

Core features
  • TinyForms: Build smart forms with customized APIs, real-time logic, and dynamic APIs.
  • TinyWorkflows: Create no-code automations with a visual drag-and-drop builder, human-in-loop capabilities, and AI assistance.
  • TinyTables: Manage, analyze, and visualize data with live sync, built-in AI enrichment, and smart insights.
  • TinyEmails: Create and send personalized emails directly from workflows with AI-crafted messages and data-driven timing.
  • TinyAgents: Deploy specialized AI agents for research, qualification, or enrichment tasks, with prebuilt expertise and customizable logic.
  • AI-based data extraction
  • Template-based data extraction
  • OCR software
  • Zonal OCR
  • Dynamic OCR
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Web scraping
  • Web crawling
  • Data extraction in Markdown, JSON, and screenshot formats
  • Dynamic content handling
  • Rotating proxies
  • Rate limits management
  • Open-source availability
  • Media Parsing
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
Use cases
  • Lead Management: Automate lead capture, enrichment, and CRM syncing to turn form fills into qualified prospects.
  • Sales Pipeline: Automate handoffs and streamline sales processes for efficiency.
  • Marketing Campaigns: Boost marketing campaign impact through automation.
  • Recruitment Flow: Automate hiring and onboarding by collecting applications, shortlisting with AI, and notifying teams.
  • Community Flow: Manage community onboarding, approvals, and communication on platforms like Telegram.
  • Campaign Flow: Streamline voucher availing journeys, rewards, and coupon redemptions with full automation.
  • Extract data from emails and attachments
  • Extract text from PDFs such as invoices or bills of lading
  • Extract data from invoices and receipts into a structured data feed
  • Convert Google Alerts email to Excel or Google Sheets
  • Send leads received by emails from various real-estate platforms to your CRM
  • Extract data from bill of ladings and delivery notes
  • Connect e-commerce platforms such as Shopify to more applications
  • Extract candidate applications from resumes and export to your ATS
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Powering AI assistants with real-time web content
  • Enhancing sales data with web information
  • Adding scraping capabilities to code editors
  • Enabling customers to build AI apps with web data
  • Extracting comprehensive information for in-depth research
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
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