@willix69 Teable supports structured sources such as Excel and CSV files, as well as unstructured documents including PDFs. It can also connect with existing databases, APIs, and other business systems.
The important part is that the AI can help interpret the source, infer its structure, and transform it into connected relational data—ready for custom apps, automations, and AI workflows. What format are you hoping to migrate?
@willix69 Teable works with structured files like Excel and CSV, unstructured documents like PDFs, and data from databases or APIs. Teable AI helps turn those sources into structured data you can use across the workspace.
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hey congrats on the launch! quick question: how do you handle permissions and history logs since many people can just edit and change data that can tangle the rest of the workflow?
@mathias_barboza Hi Mathias, thanks! Teable’s Authority Matrix lets you control access at the table, field, and record levels, including specific actions. Record history shows who changed what and when, while audit logs keep key operations traceable as more people work in the same base.
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This feels like one of those products that quietly becomes part of a team's daily workflow. I like that Teable 2.0 focuses on making databases actually useful with AI instead of adding AI for the sake of it. The clean interface and automation features look promising. Looking forward to trying it with a real project. Congrats on the launch!
@1mirul Amirul, thank you! Making AI genuinely useful in day-to-day work is exactly what we’re aiming for. We want Teable to become a natural part of how teams work with their data. Would love to hear how it goes when you try it on a real project.
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@jocky Thanks! I appreciate the response. It's always great to see makers actively listening to users. Looking forward to exploring Teable 2.0 and seeing how it fits into my workflow. Good luck! 💙
@guangyu_li@abod_rehman Thank you! Airtable + AI plugins can add intelligence around a table, but Teable is designed as one complete environment where data, apps, automations, permissions, collaborators, and AI agents operate together.
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The mix of structured data and app generation is what caught me. Being able to turn something like receipts or customer feedback into a working workflow without moving it into another tool feels genuinely useful.
@adriancia Adrian, exactly. Turning messy inputs into structured data and then into a working workflow in the same place is a big part of what we built Teable 3.0 for. Thanks for the support!
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Third launch and still shipping this hard — congrats. The "migrate any data"
part is what catches my eye; that's usually where these tools quietly fall
apart once your source data is messy.
Curious how it handles migrations where the schema doesn't map cleanly — does
it try to infer structure, or do you have to define the mapping upfront?
@transferiq Joogon, thanks! Teable AI analyzes the source data and infers the structure and field mapping for you, so you don’t need to define it upfront. You can still give it a quick check if you want.
@transferiq Thank you—and you’re right, messy data is the real test.
Teable’s AI can inspect the source data, infer its structure, field types, and relationships, then propose a mapping instead of requiring you to define everything upfront. You can review and adjust the result before committing it.
Replies
Teable
@willix69 Teable supports structured sources such as Excel and CSV files, as well as unstructured documents including PDFs. It can also connect with existing databases, APIs, and other business systems.
The important part is that the AI can help interpret the source, infer its structure, and transform it into connected relational data—ready for custom apps, automations, and AI workflows. What format are you hoping to migrate?
Teable
@willix69 Teable works with structured files like Excel and CSV, unstructured documents like PDFs, and data from databases or APIs. Teable AI helps turn those sources into structured data you can use across the workspace.
hey congrats on the launch! quick question: how do you handle permissions and history logs since many people can just edit and change data that can tangle the rest of the workflow?
Teable
@mathias_barboza Hi Mathias, thanks! Teable’s Authority Matrix lets you control access at the table, field, and record levels, including specific actions. Record history shows who changed what and when, while audit logs keep key operations traceable as more people work in the same base.
This feels like one of those products that quietly becomes part of a team's daily workflow. I like that Teable 2.0 focuses on making databases actually useful with AI instead of adding AI for the sake of it. The clean interface and automation features look promising. Looking forward to trying it with a real project. Congrats on the launch!
Teable
@1mirul Amirul, thank you! Making AI genuinely useful in day-to-day work is exactly what we’re aiming for. We want Teable to become a natural part of how teams work with their data. Would love to hear how it goes when you try it on a real project.
@jocky Thanks! I appreciate the response. It's always great to see makers actively listening to users. Looking forward to exploring Teable 2.0 and seeing how it fits into my workflow. Good luck! 💙
Teable
@1mirul Thanks, Amirul! Really appreciate the support. Hope you enjoy exploring Teable 3.0!
Congratulations
Teable
@madalina_barbu Thanks for your support, Madalina!
Triforce Todos
Congrats on the launch @guangyu_li
A quick question, how does Teable compare to just using Airtable + a couple of AI plugins at this point?
Teable
@guangyu_li @abod_rehman Thank you! Airtable + AI plugins can add intelligence around a table, but Teable is designed as one complete environment where data, apps, automations, permissions, collaborators, and AI agents operate together.
The mix of structured data and app generation is what caught me. Being able to turn something like receipts or customer feedback into a working workflow without moving it into another tool feels genuinely useful.
Teable
@adriancia Adrian, exactly. Turning messy inputs into structured data and then into a working workflow in the same place is a big part of what we built Teable 3.0 for. Thanks for the support!
Third launch and still shipping this hard — congrats. The "migrate any data"
part is what catches my eye; that's usually where these tools quietly fall
apart once your source data is messy.
Curious how it handles migrations where the schema doesn't map cleanly — does
it try to infer structure, or do you have to define the mapping upfront?
Teable
@transferiq Joogon, thanks! Teable AI analyzes the source data and infers the structure and field mapping for you, so you don’t need to define it upfront. You can still give it a quick check if you want.
Teable
@transferiq Thank you—and you’re right, messy data is the real test.
Teable’s AI can inspect the source data, infer its structure, field types, and relationships, then propose a mapping instead of requiring you to define everything upfront. You can review and adjust the result before committing it.
SpeakON
Congrats! @guangyu_li will give it a try
Teable
@danielwayne Thanks, Daniel! Looking forward to hearing what you think of Teable 3.0.
OmniVibe
Product-feedback ops would be a great test case.
Teable
@alex_luan Alex, agreed. Collecting feedback, turning it into structured insights, and routing it into product workflows is a great fit for Teable.
Vozo AI — Video localization
New to Teable. Ambitious, but interesting.
Teable
@josie_oy Josie, welcome to Teable! We’d love to hear what you think after exploring Teable 3.0.