Teable 3.0
Summary
Scattered spreadsheets, legacy tools, and data pipelines that need a developer every time something changes — that's the problem Teable targets.
Teable positions itself as an AI-native database that lets you describe what you need in plain language and get structured tables, automations, and basic apps without writing code. File ingestion works well for structured extraction tasks — receipts, contracts, resumes — where the AI fields parse and populate rows automatically. The automation layer handles triggers and actions for teams that have outgrown Zapier-style one-step rules but are not ready to maintain a full workflow engine. The ceiling appears when logic gets complex: branching conditions and multi-table orchestration push past what the chat interface can express cleanly. Teams hitting that wall typically bolt on a separate scripting layer or migrate to a purpose-built backend.
Bottom line: Pick Teable when your team needs AI-assisted data extraction and a self-hosted Airtable alternative; plan a different architecture the moment your automations require conditional branching that the natural-language interface cannot reliably express.
Pricing Plans
Subscription- Free Tier
- 200 credits, 100 automation runs, 1,000 rows, 1GB attachments
Free
For individuals
- 200 credits
- 100 automation runs
- 1,000 rows
- 1GB attachments
- AI chat
- AI field
- App builder
Pro
For small teams and professionals
- All Free features
- 1,000 credits per seat
- 25,000 automation runs
- 250,000 rows
- 10GB attachments
- All field types
Business
For scaling businesses
- All Pro features
- 2,000 credits per seat
- 100,000 automation runs
- 1,000,000 rows
- 100GB attachments
- Custom app domain
- Authority matrix
- SSO
View full pricing on teable.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- AI field extraction processes uploaded files — receipts, contracts, resumes — and populates structured columns automatically, so teams avoid building a separate parsing pipeline just to get data into a usable format.
- Self-hosted deployment with ISO27001 certification, which means regulated industries or teams with strict data residency requirements can run the platform on their own infrastructure instead of trusting a third-party cloud.
- Natural-language automation setup describes triggers and actions in plain terms, so ops teams without engineering support can wire basic workflows without YAML or a visual node editor.
- Provider-agnostic API access lets engineering teams read and write data programmatically, so Teable can sit inside a larger stack rather than forcing all logic through the UI.
- Community template library covers CRM, lead capture, task tracking, and reservation management, so teams get a production-shaped starting point instead of a blank grid.
Cons
Sign in to edit- Automation branching — logic that routes differently based on what a prior step returned — hits the natural-language interface's ceiling before complex business rules are fully expressed; teams handling conditional multi-step workflows end up maintaining a separate scripting or workflow layer in parallel.
- AI field processing and automation runs consume credits, and high-volume pipelines exhaust the free allocation quickly; teams running batch enrichment on large datasets at scale will find unlimited processing is a paid-only feature, and if the cost doesn't justify the workflow, they switch to a self-hosted open-source alternative like NocoDB or Baserow where the vendor explicitly positions Teable against.
- The self-hosted option is advertised but the scrape provides no container image or binary download path in the public-facing content, so teams expecting a one-command deploy may face additional setup friction before the first instance is running.
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About
- Platforms
- Web
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-07-24T04:47:09.983Z
Best For
Who it's for
- Small teams needing AI-enhanced spreadsheets
- Businesses building internal tools
- Users requiring self-hosted options
What it does well
- Build custom business apps from spreadsheet data
- Automate workflows with credits and runs
- Collaborate on data with AI chat and fields
Integrations
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Frequently Asked Questions
- Is Teable 3.0 free?
- Teable 3.0 has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Teable 3.0 open source?
- No — Teable 3.0 is a closed-source tool. Source code is not publicly available.
- Does Teable 3.0 have an API?
- Yes. Teable 3.0 exposes a developer API. See the official documentation at https://teable.ai for details.
- Can I self-host Teable 3.0?
- Yes. Teable 3.0 supports self-hosting on your own infrastructure.
- What platforms does Teable 3.0 support?
- Teable 3.0 is available on: Web.
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Teable is an AI-enhanced spreadsheet and database platform that lets teams build internal apps, run automations, and process structured data — all from a spreadsheet-style interface. The core workflow starts with your data: import files or connect existing sources, describe what you want extracted or organized in a prompt, and Teable’s AI fields populate the results. From there, you wire automations using natural language triggers and actions, and optionally publish the data as a lightweight app or dashboard without additional tooling.
The differentiating feature is AI-native data processing at scale. The vendor describes pipelines that handle millions of rows with AI-assisted processing, batch file ingestion (PDFs, images, spreadsheets), and AI-generated fields that run sentiment analysis, tagging, or draft replies directly inside the database. This removes the round-trip to an external AI API for routine enrichment tasks — the transformation lives where the data lives.
Teable fits small-to-mid-sized teams replacing a combination of Airtable, Zapier, and scattered Google Sheets with a single self-hosted or cloud system. The self-hosted path is supported — the vendor holds ISO9001 and ISO27001 certifications and explicitly advertises private deployment for data governance. Where it breaks: automation logic that requires dynamic branching based on what a prior step returned goes beyond what the natural-language automation builder handles cleanly. Teams with that requirement either add a scripting extension or move to a dedicated workflow engine.
The API is available for teams that need to push and pull data programmatically. Community templates — CRM, task tracker, cold call manager, restaurant reservation system — provide production-ready starting points. Credits gate both AI field usage and automation runs, so high-volume processing workloads will hit the credit ceiling on the free tier; heavier usage is a paid-only feature.