DodoForm

What is DodoForm?

DodoForm is an AI-native form platform for collecting and structuring information from the way people actually communicate. It can generate forms from a prompt, parse voice memos, photos, messy notes, and free-text responses into structured fields, and let users ask questions about submitted data in plain English.

The product combines form building, data extraction, and analysis in one workflow. It supports branded forms, 100+ templates, native integrations, and AI-powered analytics, so teams can collect submissions, organize them, and explore the results without moving between separate tools.

Key Features

• Prompt-based form generation: create forms from a description instead of building every field manually.
• Multi-modal input capture: accept voice, images, and unstructured text, then map them into a defined schema.
• Structured data extraction: convert messy notes into clean rows with fields such as names, companies, amounts, dates, and roles when those values are present in the source input.
• Plain-English querying: ask questions in English and get answers backed by a constrained query plan and read-only SQL.
• AI analytics: produce narrative summaries, lead scoring, theme clustering, sentiment grouping, weekly reports, forecasts, anomaly detection, and embeddable charts.
• Form controls and customization: use 25+ field types, layout blocks, conditional logic, branded styling, custom thank-you pages, and DodoAI theme generation.
• Security-oriented data handling: use Postgres row-level security, a read-only query role, logged LLM calls, and self-hosting options mentioned in the source.

How to Use DodoForm

Start by choosing a template or describing the form you want to create. Then customize the schema, fields, and appearance to match the data you need to collect.

Share the form with respondents or embed it in your workflow. When submissions come in, DodoForm can accept voice notes, photos, or text, convert them into structured records, and let you review the resulting data or ask follow-up questions in plain English.

Use Cases

• Lead capture and qualification: collect contact details and sales notes, then use AI scoring and summaries to prioritize follow-up.
• Surveys and feedback: gather open-text feedback, group responses into themes, and review sentiment or recurring issues.
• Event or course registration: collect sign-ups with multi-step forms and track completion or drop-off points.
• Orders and payments: build order forms that include checkout fields and process payment at submission.
• Hiring or intake workflows: accept resumes, address information, and unstructured notes, then extract a structured profile for review.

FAQ

• Can DodoForm handle unstructured input? Yes. The source says it accepts voice, photos, and messy notes, then turns them into structured data.
• Can I ask questions about submissions in plain English? Yes. DodoForm supports English-language questions and returns answers using constrained SQL behind the scenes.
• Does it support templates and custom forms? Yes. The page mentions 100+ templates, 25+ field types, layout blocks, and visual customization options.
• Does it include analytics? Yes. The product includes AI summaries, lead scoring, theme clustering, sentiment analysis, forecasting, anomaly detection, and charts.
• Is pricing or trial information provided? The page mentions a 14-day Pro trial with no credit card required, but detailed pricing is not shown in the provided content.

Alternatives

• Traditional form builders: tools focused mainly on field collection and submission handling, without the same emphasis on AI extraction or conversational analysis.
• Survey platforms: suited for feedback collection and reporting, but often centered on charts and dashboards rather than voice-to-structured-data workflows.
• Workflow automation tools: useful for routing submissions and connecting apps, but they typically rely on separate form and analysis steps.
• Spreadsheet-based intake processes: flexible for small teams, but require manual cleanup and do not natively handle voice, OCR, or plain-English querying.