Tabliner is a cloud application for spreadsheet data validation. It automatically detects and corrects errors, allowing you to customize data validation without coding. It provides a user-friendly interface, automates error correction, and ensures clean data collection. Suitable for analysts, small teams, and business partners.
Features
Automatic Error Detection and Correction
Detects and corrects errors in spreadsheets automatically, making data collection and processing much faster.
Data Template Constructor
Allows customization of data validation templates without coding, suitable for complex data relationships.
Dynamic Limits Setting
Enables setting dynamic limits on values, ensuring error-free data even for complex tasks.
Error-Free Data Collection
Simplifies the process of collecting error-free data from colleagues and partners, allowing for easy template creation and sharing.
No-code data template constructor
Allows users to create data templates without needing to write code, simplifying the setup process for data collection tasks.
Data validation system
Provides full functionality for validating data entries to ensure accuracy and consistency in data collection.
Flexible template and data access settings
Enables customization of how templates and data can be accessed and managed, offering flexible user permissions.
Unlimited data collections (Pro only)
Removes any limits on the number of data collections that can be executed, providing greater flexibility for larger projects.
Extended limits on data templates (Pro only)
Increases the limitations on creating data templates, allowing for more complex and extensive configurations.
Advanced storage options (Pro only)
Offers enhanced storage capabilities to manage large volumes of data more effectively.
Advanced access settings (Pro only)
Provides additional settings to fine-tune access and permissions for data management.
Error Detection
Quickly find errors in spreadsheets by generating a template that checks each cell by data type limits and returns errors for corrections.
Template Generation
Automatically creates a new template based on existing data to facilitate error checking.
Formatting Highlight
Highlights mismatching or potential errors in yellow or red, allowing for easy identification and correction.
Comment Addition
Adds comments that describe the reason for identified errors to improve understanding and corrections.
Advanced Error Correction
Offers options to correct potential errors like data format mismatches, adapting to column data types or limits automatically.
Data Collection Automation
Guides users on automating the collection of data from various sources into a centralized location.
API Integration
Allows users to connect with external APIs to bring in data for analysis and reporting in Tabliner.
Data Synchronization
Keeps the collected data automatically in sync with any changes from the source, ensuring up-to-date information.
Custom Data Mapping
Offers users the ability to map data fields from the source to the Tabliner platform, ensuring accurate data alignment.
Template Generation from Spreadsheet File
Allows users to automatically generate a template by uploading a spreadsheet. Users need to select specific settings like checking for data format correctness, handling potential errors, and generating column limits to customize the generation process.
Data Format Verification
Checks if the data type of each column in the spreadsheet matches predefined formats like YYYY-MM-DD for dates or HH:mm:ss for time, ensuring data integrity. Users can choose to have this check turned on or off.
Error Handling in Spreadsheets
Enables the system to recognize and manage minor errors within the spreadsheet during the template generation process, improving robustness. Users can toggle this feature to treat spreadsheets as error-free if desired.
Column Limits Generation
Automatically generates and recognizes limits for each column, determining dependencies and constraints which help manage data organization.
Role-based Data Access
Users have different permissions based on their roles: administrator, moderator, or user, affecting their ability to change and access data.
Data Validation
Columns can have different data types with specific limits like Text, Integer, Number, Date, and Time. Limits can depend on other columns' values.
Data Recovery
Allows recovery of unsaved data if you've left the template page.
Data Archiving
Deleted data is moved to an archive from which it can be restored or downloaded when importing/exporting files.
Importing and Exporting Data
Users can import and export data with column name matching, ensuring values align correctly with headers. Large files are advised to be imported in smaller parts.
User Access Levels
Provides four types of access to templates: administrator, moderator, user, and guest, each with different permissions and the ability to work with data and templates.
Access Link
Allows users to access templates via a link, which can also grant or remove access to visitors depending on their invitation type.
Template Settings
Enables modification and access management of templates, including adding or removing users and managing what data can be viewed or edited.
Data Collection Modes
Offers different data collection modes ('Collect data' and 'Collect & change'), affecting what users can see and modify.