Text To Sql

Text2SQL.ai transforms natural‑language questions into optimized SQL queries for MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, and others, using the supplied schema. It offers a public API, a local desktop app, version control, auto‑generated charts, and follow‑up query support.

AI2SQL is an AI-powered tool that generates error-free SQL queries and supports various databases.

Chat2DB converts natural‑language prompts into optimized SQL for over 40 databases. It offers a GUI editor, visual tables, ER diagrams, error‑correction, secure local execution, audit trails, and collaborative dashboard sharing for developers, analysts, and non‑technical users.

SQLAI.ai translates natural‑language input into SQL queries for over 30 database engines, optimizes and validates them, offers formatted diffs, schema‑aware generation, and a VS Code‑style editor with step‑by‑step explanations to improve collaboration.

The tool is a SQL-related chatbot that utilizes the OpenAI API key to connect to a local browser and store data. It allows for follow-up corrections and remembers previous conversations.

Sourcetable is an AI‑powered spreadsheet platform that lets users query data in plain English, auto‑generate charts, Python/SQL code, and clean data. Built‑in connectors link to databases and apps, while templates enable quick reporting.

The AI tool offers serverless, scalable, and pay-as-you-go features with AI-generated SQL and HTAP functionalities through various sign-up options.

AI Query converts natural‑language prompts into error‑free SQL for MySQL, PostgreSQL, SQLite, MariaDB, Oracle, SQL Server, Snowflake, and Redshift. It offers schema editing, SQL‑to‑English explanations, a searchable history, and shareable queries for team collaboration.

SQLThroughAI is an AI-powered SQL builder that generates complex queries effortlessly.

TurboSQL is an AI-driven SQL GUI that enables fast database management with near-zero query delays. It features an AI query assistant, inline editing, and supports multiple databases, prioritizing a secure, local-first environment for user data.

Raw Query lets users interact with PostgreSQL, MySQL, and MariaDB using natural language. It executes SELECT, INSERT, and UPDATE (PostgreSQL only), supports CSV exports, and offers mobile‑desktop access with conversational context refinement.

NLSQL translates natural language into SQL for enterprise databases, runs fully inside corporate IT, integrates with major DBs and messaging services, delivers instant access to billions of rows, and adds real‑time anomaly detection and AI agents for quicker decisions.

VerbaGPT translates plain‑English questions into executable Python for SQL databases and data files (PostgreSQL, MySQL, MSSQL, Snowflake, CSV, Excel, JSON, PDF), adding schema context and secure cloud or local modes while supporting multiple LLM backends.

AskYourDatabase is an AI-powered chatbot that allows you to interact with SQL databases. Ask questions and get instant insights without complex code. Features include data visualization, schema design, and migration. Connect securely to your favorite databases.

AI2sql converts natural‑language questions into SQL for PostgreSQL, MySQL, SQL Server, and Snowflake, letting analysts retrieve data without code. It integrates via API into pipelines and dashboards, offering real‑time query previews for quick validation.

SheetQuery enables SQL queries within Google Sheets, allowing users to join, filter, and manipulate data across multiple sheets. It supports advanced SQL features for enhanced data analysis, bulk updates, and integration with external APIs.

Chat2DB converts natural‑language queries into optimized SQL for 40+ databases, including MySQL, PostgreSQL, MongoDB, Snowflake, and BigQuery. It offers a local‑processing GUI, secure AES/RSA encryption, data migration, API integration, and collaborative dashboard sharing.

QueryX translates natural language into SQL for MySQL, PostgreSQL, SQL Server, and Oracle, featuring a multilingual chat interface. Its no‑code connector, API, and SDK allow quick data access, while a confidence‑rating system and context manager improve query accuracy.

Datayaki lets users ask plain‑English questions of spreadsheets, CSVs, and cloud databases (Postgres, Supabase, Snowflake, Firebase) directly in the browser. It keeps data local, offers explainable AI, and supports secure, collaborative dashboards.

Vanna 2.0 is an open‑source AI framework that translates natural language into SQL, letting users query relational or cloud databases like PostgreSQL, Snowflake, or BigQuery without writing queries. It supports multi‑turn conversations and optional admin features for security and observability.

SQLAI.ai turns natural‑language prompts into SQL/NoSQL queries for 30+ database engines, offering live schema integration, syntax validation, index‑aware optimization, consistent formatting, step‑by‑step explanations, diagrams, and auto‑completion to reduce errors and speed development.

TLDR is an AI‑powered IDE plugin that converts selected code into concise plain‑English explanations. Supporting multiple languages, it helps teams quickly understand snippets, regex, and SQL, accelerating onboarding and debugging within JetBrains IDEs.

Sherloq is an AI‑powered SQL assistant integrated into editors like IntelliJ and Chrome. It auto‑generates, refines, and corrects queries, suggests JOIN logic, extracts filters, and lets users version and organize queries with granular permissions.

Quadratic is an AI‑enabled spreadsheet that connects to CSV, Excel, PDFs, and databases like Postgres and Snowflake. It lets users filter, clean, and analyze data in a grid, ask natural‑language queries, and generate editable Python and SQL code for visualizations.

BlazeSQL AI analyzes SQL schemas and generates queries from plain‑language input, supporting Snowflake, BigQuery, PostgreSQL, MySQL, and Redshift. It learns from interactions, tracks accuracy, returns results and visualizations locally, and offers an API for embedding.

ChartDB allows users to visualize database schema diagrams quickly through a single query. It supports multiple SQL databases, features a customizable editor for managing tables and relationships, and enhances collaboration with visually appealing diagrams.

Quills AI links databases and files for data consolidation. Users ask plain‑English queries, which it converts to SQL and returns results via chat, Slack, or widgets. It supports visual editing, direct SQL, and export to Excel or CSV.

EverSQL is an AI‑driven optimizer for PostgreSQL and MySQL that rewrites queries and recommends indexes. Its continuous monitoring sensor supplies actionable performance insights, cost‑saving suggestions, and schema simplification, all without accessing sensitive data.

DataLang lets users build chatbots that pull data from SQL databases, cloud services, files, and websites. The step‑by‑step workflow covers data source setup, view creation, GPT training, and deployment via URL, widget, API, or ChatGPT Store.

Dataline is an AI-powered data analysis and visualization tool that transforms chat data into structured formats. It supports various databases and promotes privacy by keeping data on user devices, catering to both technical and non-technical users.

DB Pilot is a database GUI client that simplifies SQL query management for major databases. It features an AI assistant for writing and debugging queries, data import from 250+ sources, and intuitive editing and navigation tools.

SQL Genius is an AI tool that allows users to easily write SQL code without any coding required.

GPTExcel automates spreadsheet tasks in Excel, Google Sheets, LibreOffice, and Airtable. It generates formulas, scripts, SQL, regex, builds pivot tables, charts, and reports, offers conversational data queries, and OCR table conversion across 50+ languages.

Unsql AI simplifies data analysis by converting natural language queries into SQL for 24 databases, enabling users to extract insights easily. It offers a Personal Data Concierge for offline access and ensures data security with on-premise analysis and compliance features.

Quetext is an all‑in‑one writing platform offering plagiarism detection, AI content detection, real‑time grammar and spell correction, summarization, paraphrasing, and citation generation. It supports PDF, DOC, TXT files with bulk uploads for students, teachers, researchers, and creators.

Julius AI connects spreadsheets, databases, and cloud storage, letting users ask natural‑language questions. It delivers instant charts, tables, and reports, sharable in Slack or on a schedule, and supports no‑code plus R, Python, or SQL workflows, keeps data private.

Hex unifies notebooks, conversational queries, and dashboards in a single workspace. It uses shared semantic context to offer reliable insights from Snowflake, BigQuery, Redshift, and more. Data scientists write code, while business users ask plain‑language questions via Threads or Slack.

Avanti is a Chrome extension that supports data analyst work with Metabase, allowing users to generate, edit, and understand SQL queries faster and more easily.

Shape turns plain‑English questions into SQL‑driven insights, delivering accurate answers, visual charts, and real‑time dashboards via API, Slack, or Teams bots. It offers secure, compliant analytics for analysts, marketers, and product managers without coding.

Datascale converts SQL into interactive diagrams, revealing keys and joins without database changes. Engineers trace lineage, design systems, assess normalization, and collaborate with AI to draft specs and refactor plans.

Tabula transforms unstructured data into structured insights inside a data warehouse, automates contact enrichment via multiple providers for higher find rates and lower bounces, and supports sales, revenue ops, and startups with CSV uploads, clean downloads, and industry‑specific AI parsing.

Tinybird is a data platform for high-throughput streaming ingestion and management of large datasets. It features zero downtime schema migrations, instant SQL APIs, and seamless integration with tools like Kafka and S3, ensuring reliable data operations.

OpenSQL.ai simplifies SQL query generation by converting natural language questions into SQL code, making database interactions accessible for all skill levels. It streamlines data analysis and offers an API for integration, prioritizing user data security.

Athenic AI transforms plain‑English questions into deterministic SQL and instant visual answers, letting teams explore data without coding. It offers root‑cause research, anomaly alerts, dashboards, and scheduled reports—all grounded in verified metrics for reliable insights.

Defog.ai is an enterprise‑grade LLM that translates natural‑language queries into SQL for structured databases or CSVs, preserving data privacy and offering transparent query explanations; it integrates via connectors for analysts and data scientists.

Agents‑Flex is a lightweight Java framework that builds AI agents with Model Context Protocol support, reusable AI skills, Text2SQL, and integrated RAG, vector, prompt, and memory modules, enabling LLM and local Ollama deployment via HTTP, SSE, WebSocket.

Basedash lets teams ask plain‑English questions of their data warehouses and SaaS sources, automatically generating validated SQL, executing it, and visualizing results in dashboards. It supports 750+ integrations, enforces SOC 2 compliance, and offers an embedding API for internal products.

Tomat.AI is a desktop app that automates data analysis and enrichment for Excel, CSV, and database files. It loads datasets locally, lets users filter, sort, merge, pivot, and apply AI prompts in bulk, and exports reports to PDF.

Reindeer is a schema-aware SQL assistant that integrates into your IDE to generate production-ready queries, provide real-time autocomplete, translate plain-English prompts into SQL, and detect and repair syntax and logic errors to speed development.

Teste.ai automates test case, test plan, and step‑by‑step creation from requirements using OpenAI models. It generates scenarios, boundary values, load tests, SQL data, and multi‑language code (Gherkin, Cucumber, Java, Python) for CI/CD pipelines.