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Description
AI persona autofill for forms with dossier tracking and resume-to-attribute extraction. Autofillm is an AI-powered persona autofill tool for forms. Instead of filling fields one by one, Autofillm lets you create personas described in natural language, then uses an OpenAI API-compatible LLM endpoint to intelligently understand form fields and fill them in consistently. Think of it as a smart identity and profile simulator for form entry, testing, demos, creative workflows, and scenario generation. WHAT AUTOFILLM DOES Autofillm helps you generate and reuse realistic persona data across websites and forms. You define a persona with a prompt, such as: - “Middle-aged man from the Midwest who works in logistics” - “Startup founder living in Berlin with a polished professional tone” - “Retired teacher in her 60s who lives in a small coastal town” - “007-style undercover executive traveler with elite tastes” From there, Autofillm can inspect a field, determine what the field is asking for, and generate an appropriate value based on the active persona. It is designed to do more than random text generation. It builds a living profile as it goes. For example: - If a first name is generated once, that same first name is reused later - If a country is selected, related fields can stay consistent - If a persona has already “become” someone, Autofillm keeps that identity stable instead of reinventing it for every field This makes it useful for repeated form filling, persona simulation, QA workflows, mock user creation, and creative testing. CORE FEATURES Persona-based autofill Create and manage multiple personas using prompt descriptions. Each persona acts like a character profile that evolves as fields are filled. Allows importing PDF file resumes for parsing using same LLM endpoint to attach on a persona and use. OpenAI API-compatible server support Use your own OpenAI-compatible LLM endpoint. Configure the base URL, model, API key, and related settings from the extension’s settings page. Smart field understanding Autofillm analyzes the field context to infer what the field represents, including: - first name - last name - full name - email - phone - address fields - city, state, zip, country - date-related fields - company or job title - and other common registration/profile form inputs Consistency and reuse Generated values are cached and reused when similar fields appear later, reducing unnecessary model calls and keeping persona identity coherent across forms. Manual fill button on highlighted fields Focus or highlight a field and Autofillm can present a fill action so you choose when to apply the persona. Optional auto-typing Enable or disable automatic filling behavior from settings. This gives you control over whether Autofillm waits for a click or fills eligible fields automatically. Dropdown and structured field support Where possible, Autofillm can handle more structured inputs such as dropdowns and date-related fields, not just plain text inputs. Live persona dossier As the persona generates information about itself, Autofillm stores and displays that profile so you can see what has already been established. This makes the extension feel less like a text generator and more like an analysis console tracking an evolving identity. Popup persona switching Use the extension popup to quickly select the active persona and work with different identities across browsing sessions. Sophisticated interface Autofillm is designed with a polished intelligence-tool aesthetic for managing personas, reviewing generated identity details, and controlling fill behavior. WHY USE AUTOFILLM Autofillm is useful when you want form filling to be: - faster - more consistent - persona-driven - reusable - less repetitive - more intelligent than static autofill templates Potential use cases include: - testing sign-up and onboarding flows - generating mock identities for QA environments - demoing product experiences with believable user profiles - creative roleplay and narrative prototyping - repeated form entry using themed personas - evaluating how different identity profiles interact with form UX HOW IT WORKS 1. Configure your LLM server in settings 2. Create one or more personas using descriptive prompts 3. Select the active persona from the popup 4. Focus a form field on a website 5. Autofillm analyzes the field and either: - suggests a value - fills it on click - or auto-fills it if auto mode is enabled 6. Generated data is stored and reused so the persona remains internally consistent EXAMPLES A persona prompt like: “Middle-aged man, practical, American, suburban, married, works in insurance” might lead to a stable set of generated identity traits such as: - first name: reused consistently - last name: reused consistently - country: United States - tone and occupation details that remain aligned with the original persona prompt If another page later asks for first name again, Autofillm can reuse the existing value instead of generating a different one. PRIVACY AND CONTROL Autofillm works with the API-compatible LLM server you configure. You choose the endpoint and credentials. Generated values and persona state are used to support the autofill workflow and maintain consistency. You stay in control of: - which server is used - which persona is active - whether auto-fill is enabled - when fields are filled IMPORTANT NOTES - Autofillm is designed to assist with persona-based form filling and mock profile generation - Results depend on the quality and behavior of the configured model endpoint - Some highly custom or unusual form widgets may have limited compatibility - Best results come from clear persona prompts and standard form structures AUTOFILLM IN ONE LINE Autofillm turns prompts into reusable form-filling personas, intelligently reading fields, generating consistent identity data, and giving you a live dossier of who the persona has become.