# Free AI for documents: a folder-to-Word-and-Excel example > Create a checked Word and Excel report from eight fictional tasks. Download inputs, prompts and deterministic reference files, then repeat the task with a model available to you. https://more-ai.net/guides/free-ai-for-documents · Updated October 7, 2026 ## Working on files, not on copy-paste In Home, choose a project folder and ask the agent to read its documents, propose edits or create Word, Excel and PowerPoint files. Start with a working copy, review the selected permissions and inspect the resulting files in an office application. Source files remain in the folder you selected, while an online model sees the text you send it. Signed-out work does not sync; after sign-in, project sync is on by default unless disabled. End-to-end encryption for project files is optional and starts off, so synced file content is readable by the service and web app by default. ![A project folder open in Home, with file changes shown as diffs](https://more-ai.net/screenshots/en/mode-cowork.png) ## Choose a model available to your account Google AI Studio and Groq offer model-dependent free API access where available. Neither is universally the fastest or most generous: rate limits, region, context and workload determine what works. Check the current model and account limits, then try a small task. 1. Install More AI and open the desktop app; an account is optional for this local provider-key route. 2. Choose a provider and model available to your account and region, then add its API key in Settings → Providers. 3. Copy the sample documents into a working folder and open it as a project in Home. 4. Define a bounded task and its checks, such as a project summary with source task IDs. 5. Review the selected file and command permissions, inspect visible diffs and open every output file before accepting the result. - [Google AI Studio — get an API key](https://aistudio.google.com/apikey) — Create a key and check model availability, region eligibility and current account quotas. - [OpenRouter — create an API key](https://openrouter.ai/keys) — Check the chosen model’s availability, tool support and current account limits. - [Ollama — download](https://ollama.com/download) — Prepare a local model and server; review sync, cloud, online tools, telemetry and AI observability separately. ## What it actually does with your files The agent can write and run a generator script to create a .docx, .xlsx or .pptx when the required tools, permissions and dependencies are available. Open the output and check figures, formulas and formatting; a generated filename or completion message does not establish correctness. File operations and commands follow the selected tools, access mode and approvals. Use a working copy and limit the available tools to the task. Review proposed commands, visible diffs and generated files; a diff is not a backup, and permissions do not guarantee that an unwanted edit or deletion is impossible. - Summarise or compare a folder full of documents into one table - Rewrite, reformat and fix numbering across a long report - Build .docx, .xlsx and .pptx files from data you point it at - Extract figures from several files and check them against each other ## Your conversations stay yours Chats and projects live in local storage on your computer, so they survive closing the app. Signed-out work is not synchronized. After sign-in, supported conversation and project categories synchronize by default unless you disable their individual switches. Synchronization makes supported work available in a browser or on another device; it is separate from cloud execution. End-to-end encryption for project files is optional and off by default, so synced project file content is readable by the service and web app unless you enable E2E. ![More AI sync category and separate cloud-execution settings](https://more-ai.net/screenshots/en/sync.png) ## Where free runs out Free APIs can have per-minute, token, daily or account limits. A document task can make several model and tool calls; its cost depends on context, output, retries and the provider. Check current limits before starting and record failures instead of treating an incomplete result as finished. Local inference has no provider per-token bill. Hardware, electricity, storage and your time still have a cost. Capability depends on the exact model, quantization, context length and available memory; test one small task before choosing it for a workflow. ## A small project report you can reproduce Download a workspace containing eight fictional tasks, project notes and prompts in English, Russian and Chinese. The files contain no customer data. The goal is a real workbook and a short Word summary, with the original task IDs preserved. The reference XLSX and DOCX below were produced by a deterministic generator and mechanically checked. They are not outputs from a More AI test and do not demonstrate a model’s accuracy. Use them to check facts; your layout can differ. - [Input workspace and prompts (.zip)](https://more-ai.net/examples/document-workspace.zip) - [Expected workbook (.xlsx)](https://more-ai.net/examples/expected-project-report.xlsx) - [Expected English summary (.docx)](https://more-ai.net/examples/expected-summary-en.docx) ## Repeat the task in Home Use a provider/model available to your account and region. A provider free tier can be enough for this small task, but quotas and tool support vary. Local inference requires a suitable local model and prepared dependencies; neither route guarantees a successful run. 1. Unzip the sample into a new folder and open that folder as a project in Home. Keep the original input files. 2. Select a model and review folder, command and network permissions. Start with confirmation for actions. 3. Use PROMPT-en.txt: create output/project-report.xlsx and output/summary.docx; compare planned and actual hours only for done tasks; keep the missing actual value of T03 unknown. 4. Ask the agent to explain its checks and errors. Review any dependency installation before approving it. 5. Open the produced files in an office application and compare their values with the reference below. A success message alone is not validation. - [Full English task prompt (.txt)](https://more-ai.net/examples/document-prompt-en.txt) - [Set up a provider key](https://more-ai.net/guides/bring-your-own-key) ## The checks that decide whether it is correct There are 8 source tasks: 7 done and 1 pending. Completed work has 30 planned hours and 33 actual hours, a +3-hour difference. The plan for all tasks is 32 hours. T03 is pending with 2 planned hours and no known actual value. Comparing 32 planned hours with 33 completed actual hours would mix different scopes. The completed-work subtotals are Aurora 10 planned / 12 actual, Boreal 10 / 10 and Cedar 10 / 11. Keep the task IDs in the workbook and summary so every figure can be traced to the CSV. The reference workbook includes formulas and preserves the missing T03 value. - All eight IDs appear once; no source row is silently dropped. - T03 stays pending and its unknown actual time is not converted to zero. - Formulas calculate completed-work totals and a separate full-plan total. - The summary identifies source task IDs, the pending item and the +3-hour variance. - Files open successfully, and any errors or manual corrections are recorded. - [Machine-readable expected totals (.json)](https://more-ai.net/examples/expected-project-totals.json) - [Reuse and provenance (.txt)](https://more-ai.net/examples/README.txt) ## An observed run, including the repair On 7 October 2026, we tried this English-language task in More AI 0.2.0 with Z.ai (GLM), glm-5.3-flash selected. File execution was on the computer; the inference endpoint and provider bill were not independently verified. The download contains the English files and the run protocol. The first XLSX reversed the sign of per-task variances. A follow-up repaired those formulas. We then changed only T05 actual hours from 6 to 7: completed work became 30 planned / 34 actual / +4 hours, with Boreal at 10 / 11 / +1. Separate LibreOffice recalculation checks confirmed these figures, all eight task IDs and the unknown T03 value; the Word summary matched. This result required a repair and follow-up checks. The original XLSX needs formula recalculation, so cache-only previews can show blanks. Review print layout before sharing the files. Provider cost remains unverified. - [Actual English XLSX, DOCX and inputs (.zip)](https://more-ai.net/examples/more-ai-glm-documents-2026-10-07.zip) — Includes the original task and the T05 revision; these are observed outputs, separate from the deterministic references above. - [Run protocol and verification limits (.txt)](https://more-ai.net/examples/more-ai-glm-documents-2026-10-07.txt) ## Frequently asked questions ### Can it really create Word and Excel files? The agent can write and run a generator script to create a .docx, .xlsx or .pptx when the required tools, permissions and dependencies are available. Open the output and check figures, formulas and formatting; a generated filename or completion message does not establish correctness. ### Do my documents get uploaded anywhere? The source files stay in your folder, while an online model sees the text you send it. Signed-out work is not synchronized; after sign-in, project sync is on by default unless disabled. Optional E2E starts off, so synced project file content is readable by the service. With Ollama, prompts and inference stay local when sync, online tools, master telemetry and AI observability (including replay) are off. ### Are my chats saved? Yes — conversations and projects are kept in local storage on your computer and survive restarts. Signed-out work does not sync; after sign-in, supported categories sync by default and can each be disabled. ### Which free model is best for documents? There is no universally best free model for document work. Check your region, account quota, context and tool support, then repeat the small exercise below and compare verified outputs. ### Can it delete my files? File operations and commands follow the selected tools, access mode and approvals. Use a working copy and limit the available tools to the task. Review proposed commands, visible diffs and generated files; a diff is not a backup, and permissions do not guarantee that an unwanted edit or deletion is impossible. ## More guides - [More AI Library: find files, ask questions and keep versions](https://more-ai.net/guides/file-library.md): Use your file library and connected Google Drive for proposals, reports and document questions. Learn how selected versions, storage access and cloud processing work. - [Projects: turn any folder into an AI workspace](https://more-ai.net/guides/cowork-projects.md): A project binds the desktop assistant to a folder on your disk, edits with visible diffs and creates Word, Excel and PowerPoint deliverables. Signed-out work does not sync; after sign-in, project sync is on by default unless you disable it. - [Connectors & plugins: bring your tools to the assistant with MCP](https://more-ai.net/guides/connectors-mcp.md): More AI ships a browsable catalog of over 160 verified MCP connectors — GitHub, Notion, Linear, Stripe and many more — plus local plugins in the same .mcpb format as Claude Desktop extensions. Here is how to connect them and keep every permission under your control. - [Cloud continuity: sync, web access and work across devices](https://more-ai.net/guides/sync-and-web-app.md): Use an optional More AI account to sync supported work, open it at app.more-ai.net and run eligible tasks in the cloud. Signed-out desktop work does not sync; configured categories start syncing after sign-in, while cloud execution stays separately off until enabled. --- More AI — One AI agent for documents, research and code — on desktop, the web, the terminal and your phone, with your own API key at your provider’s price. - Download: https://more-ai.net#download - Docs: https://more-ai.net/docs.md - Guides: https://more-ai.net/guides - llms.txt: https://more-ai.net/llms.txt