knooth vs Tables.so: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of knooth and Tables.so — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

knooth

Paid

macOS screen recorder with built-in editing, AI captions, timeline animations, and media layering for polished exported videos.

Built-in Editing: Timeline-based editor for trimming, arranging clips, and applying timeline animations without exporting to external editors.
AI Captions: Automatic caption generation for recorded videos to improve accessibility and speed up post-production workflows.
Timeline Animations: Apply animations on the timeline to highlight moments, create transitions, and emphasize actions in recordings.
Media Layering: Combine multiple media tracks (screen, webcam, overlays) to build polished, multi-layered screencasts.
Highlight Key Moments: Tools to mark or emphasize important sections during or after recording so viewers focus on critical steps.
Quick Export: Fast export workflow for producing clean, shareable video files suitable for demos, tutorials, and product walkthroughs.
Screen recording (macOS)
Highlight key moments within recordings
Built-in video editor
AI-generated captions/captions automation
Timeline animations for clips
Export polished videos for sharing

Creating software tutorials and walkthroughs with annotated highlights and AI-generated captions for learners.
Recording product demos and feature showcases with timeline animations to draw attention to UI changes.
Producing onboarding and training videos for teams, using media layering to include webcam and screen together.
Capturing bug reports and step-by-step reproduction videos with annotated highlights for engineering handoff.
Generating short marketing clips or social previews by exporting polished, animation-enhanced screen recordings.
Creating product demos and walkthroughs
Recording software tutorials and how-tos
Producing training and onboarding videos
Capturing bug reproduction and annotated feedback
Creating marketing or presentation videos

Tables

Freemium

AI prospecting platform that searches 300M+ contacts, enriches leads with verified emails and phone numbers, and researches every prospect.

AI Search: Describe your ideal customer in plain language and get a scored, qualified lead list in minutes instead of hand-building filters.
Contact Database: Search over 300 million contacts and companies across 30+ criteria including title, seniority, technology stack, and geography.
Verified Contact Data: Reveal verified work emails, mobile numbers, and direct dials, with credits charged only when data is actually found.
Custom AI Research Columns: Add scores, dropdowns, and yes/no fields answered by AI, each with its reasoning and source citations.
Claude MCP Server: Run agentic prospecting workflows inside Claude, including reading local lead lists and enriching them with live data.
Chrome Extension: Reveal emails and phone numbers on any LinkedIn profile and push contacts straight to your CRM.
CRM Sync: Export whole lists or cherry-pick individual leads into your CRM and keep records in sync as they change.
ICP Scoring: Every prospect is scored for fit against your ideal customer profile so reps focus on the highest-value accounts.

An outbound SDR team builds a targeted prospect list for a new segment without hours of manual scraping.
A founder-led sales motion needs verified mobile numbers and emails for decision makers at specific company types.
A RevOps lead enriches an existing CRM export with missing contact details and firmographic data.
A marketer researches which prospects use a given technology — Shopify, WooCommerce, Magento — before running a campaign.
A seller preparing for a call pulls AI-researched context on a prospect's business, hiring, and priorities.
An agent-driven workflow in Claude reads a local CSV of leads and enriches each row automatically via MCP.