Organize data dictionaries and track schemas in an AI-powered system built with AI you customize to fit your team's data workflow.




Customize your dataset documentation tool setup with the exact steps and views your team needs. Add features as processes evolve—no code needed.






Connect SQL schemas, spreadsheets, and warehouses with real-time sync—or manage everything in Softr Databases. Create a single source of truth for your business.
Give each teammate the right tools and access. Set up secure logins, user groups, and granular permissions—no IT support or dev work needed.
Give different team members tailored access and dashboards, so data owners manage schemas while analysts only see verified documentation.
Give different team members tailored access and dashboards, so data owners manage schemas while analysts only see verified documentation.
Streamline your internal processes with Softr Workflows. Trigger native automations for schema updates or documentation approvals to keep metadata current.
Access and update your dataset documentation tool on the go. All technical documentation portals are mobile-ready out of the box.
Use Google, email, or SSO logins to give your engineering team fast, secure access to data dictionaries—no IT tickets needed.
Keep sensitive metadata and internal data safe with SOC2 and GDPR compliance, plus fine-tuned access control at every level.
No more one-size-fits-all tools or costly custom builds. Softr is easy to use and fully customizable, so you can launch faster, adapt as you grow, and skip the complexity of traditional software.

Build your dataset documentation tool in minutes with AI—no manual setup or complex configuration needed.

Add features like approval workflows, tagging, or discovery search as your metadata grows—no rebuild needed.

Start with documentation, then add data request forms, dashboards, or internal catalogs—all in one place.
Co-build with AI
Simply describe what you need. Let Softr handle everything - Interface, database, workflows.
Iterate with AI or visually
Control most critical parts of your app yourself - roles, permissions, security.
Ship the same day
Invite team members or external clients and partners right away. No developer handover.
Use drag-and-drop blocks to build a portal that looks sleek and modern out of the box. Add only the features you need, and iterate as your workflows evolve.




A dataset documentation tool is a secure knowledge base where data teams and stakeholders can access metadata, data dictionaries, schema definitions, and lineage information. It centralizes technical context in one place, so data scientists and analysts don't have to rely on scattered README files or constant Slack inquiries. This makes it easier to keep your data definitions organized and provide a clear single source of truth for your entire organization.
Softr is the first AI-native platform for building business software. It makes it easy to build a dataset documentation tool that fits the way your data governance works. You can describe your documentation needs to the AI Co-Builder to instantly generate your metadata database, glossary pages, and access logic—already connected and secure.
You don't need to code anything. You can start by generating with AI, using a template, or building from scratch. Everything runs on Softr Databases, the native, relational database built into the platform, or you can connect external data catalogs like Airtable, Google Sheets, HubSpot, and more. You have full control to adjust the layout visually, decide which team members see specific datasets, and brand it to match your company’s internal design. It's quick to get up and running, simple to update as your schema evolves, and flexible enough to grow with your data volume.
You can include a wide range of features in your dataset documentation tool, depending on how your data team operates. A great documentation app usually mixes classic functional blocks with AI-powered intelligence:
- AI-Powered Intelligence – Use Ask AI to let analysts query data definitions conversationally, or set up Database AI Agents to automatically generate table descriptions and suggest tags based on schema samples.
- Vibe Coding Blocks – Build complex, custom UI elements—like a data lineage visualization—using the AI Code block to "vibe code" exactly what you need.
- Softr Workflows – Build native automations (like email alerts when a column definition is updated) that trigger notifications or sync changes whenever a record is modified or an approval button is clicked.
- User Portals & Logins – Securely manage access so internal stakeholders only see the data dictionaries relevant to their department.
- Forms & Data Collection – Capture new metadata with custom submission forms, schema file uploads, and conditional logic for data owners.
- Dashboards & Charts – Visualize documentation coverage and freshness metrics with real-time charts and summaries.
- Lists & Advanced Filtering – Display and manage your tables with searchable data dictionaries, kanban boards for documentation progress, and detailed column-level views.
Everything is built using Softr's drag-and-drop blocks, so you can create these features without writing code. Need something more custom? Use the Vibe Coding block to generate a tailored schema viewer with AI. And if your data structure changes, it's easy to update the knowledge base later.
Vibe coding is all about moving fast and using AI to build exactly what you need. You can "vibe code" a dataset documentation tool in Softr by simply describing your requirements—like wanting a searchable repository for SQL schemas—to the AI Co-Builder. Softr then generates a production-ready app on top of a stable, secure foundation.
Unlike other tools that just generate raw, fragile code, Softr handles the "boring 80%"—like user authentication for your team, database logic for metadata, and security—natively. This means you get the speed of vibe coding without the "Day Two" headaches of managing raw documentation scripts. You describe the data structures you want to document, Softr builds the tool, and it’s ready for your analysts instantly.
Yes. You can manage multiple departments (like Marketing, Finance, and Product) in a single documentation portal. Each team member only sees the dataset descriptions and schema details assigned to their department, based on their login and role. This is useful for large organizations or consultancies managing data assets across multiple business units.
Yes, you can. You don't need to bring your metadata from a third-party catalog to start building with Softr. If you're starting from scratch, you can use Softr Databases, which is built into the platform and integrates perfectly with your documentation application.
But if you already have dataset details in tools like Airtable, Google Sheets, HubSpot, Notion, or internal SQL databases, you can connect those too. You can also use the REST API connector to ingest schema information from external sources. Either way, you have full control over how your dataset documentation is structured and displayed.
Softr Databases is the recommended native, relational data source for your documentation tool. It is built explicitly for business apps, offering high performance, instant automation triggers, and a lightning-fast experience because the metadata is native to the platform.
If you already have your documentation elsewhere, Softr also connects to 17+ external data sources. You can connect to Airtable, Google Sheets, HubSpot, SmartSuite, BigQuery, and more. You can even integrate multiple data sources into the same app—so your documentation tool could pull in technical metadata from a SQL warehouse and business context from Softr Databases at once. Most sources support real-time, two-way sync, so updates to a schema definition in your data source stay in sync automatically.
Yes, Softr gives you full control over how your team experiences the dataset documentation tool. You can customize the layout, navigation, and glossary views to match your internal standards. Each documentation block can be shown or hidden based on job roles, so an Executive only sees high-level summaries while a Data Engineer sees technical column types.
You can also set up different user roles, such as Viewer, Data Owner, or Admin—and define exactly what each role can edit. For example, Data Owners can edit their own table descriptions, while standard users can only browse and search. This level of customization is especially useful when you're managing sensitive data dictionaries across multiple business units, keeping the experience clean and secure.
Yes, you can fully white-label your dataset documentation tool in Softr. You can use your company logo, brand colors, typography, and a custom subdomain (e.g., docs.company.com) to make the tool feel like an official internal resource. You can also remove all Softr branding, so your data team and analysts only see your organization's identity throughout the knowledge base.
Yes, you can. Softr gives you a lot of flexibility to control the design and layout of your documentation knowledge base. You can adjust the themes, spacing, and page hierarchy to make documentation easy to navigate. To display your metadata, you can add different types of blocks depending on your needs:
- Table blocks – to show structured data dictionaries and column lists.
- List or Card blocks – to browse different datasets by category or status.
- Detail View – to show a deep dive into a single table, including owner, lineage, and sample rows.
- Forms – for stakeholders to request new datasets or report documentation errors.
- Charts – to show documentation completion percentages or data quality scores.
- Calendar blocks – to display scheduled data refresh dates or audit deadlines.
If your documentation requirements change, it's easy to go back and reorganize your blocks right in the visual builder.
Softr is built with enterprise security in mind. All documentation data is encrypted in transit and at rest, ensuring your internal schema descriptions remain private. Softr apps give you full control over accessibility; you can set up role-based permissions, manage authorized users, and apply visibility rules so sensitive table definitions aren't exposed.
For documentation using Softr Databases, your data is stored in a secure environment hosted in Germany with SOC 2 Type II compliance. For apps connected to external warehouses or sheets, Softr doesn't store your sensitive primary data—it just displays the metadata in real time based on your access settings. You're always in control of who can view or edit your data documentation.
It is fully production-ready. Unlike many AI tools that just "vibe code" raw, fragile scripts that are difficult to secure, Softr builds your dataset documentation tool on top of a stable foundation designed for business scale.
We handle the "boring 80%"—like SSO authentication, hosting for your metadata, and granular access control for different data tiers—natively. This solves the "Day Two" problem: you get an instant repository for your metadata without the technical debt of managing a custom-coded documentation site. Your tool is secure, scalable, and ready for your analysts to search and use from day one.
Softr is the first AI-native platform for building business software like dataset documentation tools. Unlike pure code generation tools that produce maintenance-heavy scripts, or traditional wikis that require manual layout for every table, Softr's AI Co-Builder creates a functional application on a secure, production-ready foundation.
What sets it apart is the hybrid advantage: you can use AI to generate your data dictionary structure and logic in minutes, then use visual controls for precise design. You get the speed of AI with the reliability of business-grade features like SSO, role-based access, and relational database hosting. It's designed for data teams who want to build a searchable knowledge base without needing a full-stack developer.
Yes. Softr supports powerful native workflows and a wide range of integrations so you can connect your documentation tool to your data stack. You can automate tasks using Softr Workflows—such as notifying a data owner when a table is flagged as deprecated—or sync with tools like Slack for documentation requests. Softr also supports REST API and webhooks for advanced data lineage workflows.
Whether you need to push documentation updates to a GitHub repo or pull in schema changes from your warehouse, you can build these automations directly into your documentation portal without writing any code.
Describe what you need. Softr's AI builds it in minutes. Get started for free, no dev needed.