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OpenInterpreter

Freemium

Talk to your computer and let it run code.

OpenInterpreter is a desktop AI agent that reads, edits, and creates Word documents, Excel spreadsheets, and PDF forms on your local computer. It combines document automation with local code execution, allowing you to describe tasks in natural language while the agent handles the technical work across files and applications.

desktop agentdocument editinglocal code executionPDF formsExcel automationWord editingBYO API keyMCP integrationTask ExecutionAutomated Workflow ExecutionCode GenerationData AnalysisInformation ExtractioneditinggenerationanalysisrecognitionAI AgentsWorkflow AutomationCode AssistantData Analysis
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What is it

OpenInterpreter is a desktop agent for work that crosses apps, files, browser tabs, spreadsheets, PDFs, and documents. It opens the applications you already use, reads the files you point at, and executes tasks on your computer while pausing for review before any irreversible action such as submitting, sending, or deleting.

What it can do

It can fill PDF forms, edit Word documents with tracked changes and formatting, build Excel spreadsheets with pivot tables and formulas, extract structured data from images and documents, and execute Python, JavaScript, or shell scripts locally. It also supports voice instructions, MCP server integrations, and multiple AI model providers including OpenAI, Anthropic, Groq, and local models via Ollama.

Who is it for

It is designed for professionals in finance, legal, operations, research, and support who spend hours each week moving information between documents and applications. It also serves developers and power users who want a natural language interface for local code execution and file automation with full data privacy control.

Key Features

Document Editing Suite – Word, Excel & PDF

Native editors for Word documents with tracked changes and formatting, Excel spreadsheets with pivot tables and formulas, and PDF form filling. The agent can create, read, and modify documents directly on your computer without uploading files to external servers, making it suitable for handling sensitive contracts, financial reports, and legal paperwork.

AI Agent Automation – Desktop Task Execution

Deploy an AI agent that opens desktop apps, clicks menus, types text, and operates dialogs the way a human does. It can navigate browser tabs, fill forms, and execute multi-step workflows across applications while pausing for your explicit approval before any action that submits, sends, deletes, or overwrites data.

Local Code Execution – Python, JavaScript & Shell

Run Python, JavaScript, and shell scripts locally through a natural language interface. The agent can process files, scrape data, generate charts, batch rename items, and automate technical tasks with full access to your local environment, installed packages, and internet connection.

Data Extraction & Transformation – Structured Output

Extract structured data from PDFs, images, and documents and write it into formatted Excel sheets with working formulas. Turn receipts into expense reports, transcripts into notes and action items, or build dashboards and financial models from raw business data.

Use Cases

Automated document processing and form filling

Legal and administrative teams direct the agent to fill PDF forms, extract clauses from contracts, and compile standardized documents from templates. The agent operates on local files, ensuring sensitive paperwork never leaves the organization's infrastructure.

Financial data analysis and dashboard building

Finance professionals pull data from PDFs and spreadsheets into Excel with working formulas, build pivot tables, and create financial models. The agent can cross-reference multiple documents and generate charts for board presentations without manual data entry.

Cross-application workflow automation

Operations staff automate repetitive tasks that span multiple apps, such as pulling CRM data into a formatted report, updating spreadsheet records from email attachments, or batch-processing files across folders. The agent opens each app, performs the work, and reports results.

Local code execution for developers

Developers use the natural language interface to run Python scripts, process datasets, generate visualizations, or automate DevOps tasks on their local machine. Full access to the local environment means any installed package or system tool is available to the agent.

Pricing plans

Frequently Asked Questions

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