Weavely
Weavely builds smart forms and surveys from prompts, voice notes, or uploaded documents—then lets you style and add multi-step logic.
What is Weavely?
Weavely is an AI-powered form and survey builder that helps you create structured forms quickly. The core idea is to generate form content from inputs such as a text prompt, voice note, or an uploaded document/image, then refine the resulting form with styling and logic.
Instead of starting from a blank page or filling in fields manually, Weavely uses AI to turn your intent into form questions and supports multi-step flows and conditional logic, so the form can adapt based on responses.
Key Features
- Generate forms from a prompt (text): Start with a simple description of what you need, and AI creates form fields and questions based on your input.
- Generate from voice input: Use voice notes to capture your idea; AI shapes it into form fields.
- Upload a PDF/slide/screenshot to extract questions: Import documents or images and convert key information into form questions.
- AI-assisted styling and branding: Apply fonts and colors using plain-language descriptions or by uploading a document/image that contains an aesthetic; this reduces manual font and hex-code tweaking.
- Multi-step flows and conditional logic (answer piping): Build forms that guide respondents through multiple steps and change what comes next based on earlier answers.
- AI Copilot for edits: Use the Copilot to rephrase questions, adjust tone, or make design tweaks.
How to Use Weavely
- Start a new form and choose how you want to provide the initial content: a text prompt, voice note, or an uploaded document/image.
- Review the generated questions and fields, then adjust or ask the AI Copilot to rephrase and refine them.
- Apply styling/branding either by describing the desired look in plain language or by uploading a reference document/image.
- Set up multi-step flow and conditional logic (answer piping) so the form responds to user answers.
- Launch the form and collect responses after it matches the intent and structure you want.
Use Cases
- Onboarding and new-user feedback surveys: Provide a brief prompt about the users and what you want to measure; use AI to generate a feedback form tailored to that goal.
- Customer experience (CX) satisfaction collection: Build structured satisfaction surveys that collect actionable feedback instead of relying on unstructured notes.
- Lead capture and campaign qualification: Create survey-style forms that gather information such as contact details and other qualification inputs.
- UX research and usability studies: Turn research questions into a survey format with clear wording, multi-step structure, and conditional paths.
- Repurposing existing materials into forms: Upload a PDF/slide/screenshot containing questions or grouped content, then convert it into a working form without manually re-entering each question.
FAQ
-
Can I create a form without manually writing every question? Yes. Weavely can generate structured questions from a text prompt, voice note, or an uploaded document/image.
-
What kinds of files can I upload for question extraction? The site states you can upload a PDF, slide, or screenshot to extract key information and convert it into form questions.
-
How does Weavely help with branding and styling? It supports AI-assisted styling, including applying colors and fonts based on plain-language descriptions or by extracting the look from an uploaded document/image.
-
Does it support dynamic forms? Yes. Weavely includes multi-step flows and conditional logic (answer piping) so later questions can depend on earlier responses.
-
What can the AI Copilot do during editing? The Copilot can help rephrase questions, adjust tone, and make design tweaks.
Alternatives
- Manual survey builders (template-based): Tools where you start with a blank editor or templates and then configure fields and logic by hand. These can work well when you already know the exact question set, but they may require more manual setup than AI-generated forms.
- AI-assisted writing and document-to-form tools: Solutions focused on generating structured content (e.g., from prompts or documents) and then letting you configure logic and layout. They may differ in how directly they support form-specific features like multi-step flows and answer piping.
- UX research survey platforms: Platforms aimed at research workflows (surveys, studies, participant feedback) that typically emphasize question design and analysis. Depending on the product, they may offer less document/image-to-form generation and more guided research tooling.
- Form builders with conditional logic but limited AI generation: Traditional form tools often provide logic, multi-step behavior, and branding controls, but they may not automate initial question creation from prompts or uploaded materials as directly.
Alternatives
Nolain OCR
Nolain OCR is an advanced Optical Character Recognition solution designed to accurately extract text and data from various document formats, streamlining document processing workflows.
VForms
VForms enables the creation of interactive questionnaires overlaid directly onto YouTube videos, allowing users to collect highly contextual feedback and deep user insights.
Jenni
Jenni is an AI workspace to read PDFs, draft essays and papers, and generate in-text citations in 2.6k+ styles.
AgreeGuard
AgreeGuard is a free AI Chrome extension that analyzes Terms of Service and Privacy Policies before you click “I Agree,” flagging red flags.
DataSieve: Text to Data
DataSieve: Text to Data extracts emails, dates, URLs, and structured info from text and many file types—offline on iPhone, iPad, and Mac.
司马阅
司马阅 is a leading domestic enterprise-level AI document intelligence platform, focused on activating dormant data in enterprises and helping them create serious scenario-based AI employees.