Hugging Face
OpenAI
Gemini
Eden AI
LangChain
Ollama
Civitai
PyTorch
AudioForms
Voiceform
Typeform
Theysaid
Survicate
Sprig
Beams
Zeda.io
AudioForms is a modern form builder with a twist โ it lets you capture rich, voice-based feedback instead of just static text responses. Whether you're gathering insights from customers, users, or team members, AudioForms helps you go beyond checkboxes and truly hear what people have to say.
Build your form using a simple drag-and-drop interface โ add text questions, multiple choice, and audio input fields.
Share the form via a link, just like any other survey.
Collect voice responses โ users record their thoughts in their own words, from any device.
Listen or read โ play back responses or get automatic transcriptions for analysis.
Voice input fields โ Let users record audio answers, right in the form
Customizable form builder โ Mix audio, text, dropdowns, and more
Auto-transcription โ Instantly convert audio to text
Response dashboard โ Organize and listen to responses in one place
Easy sharing โ Send forms via link, email, or embed anywhere
Get deeper insights: Voice responses reveal emotion, nuance, and detail that text canโt
Save time on interviews: Great for async user research or feedback
Make it easier for users: Some people speak better than they type
Perfect for remote teams: Use it for check-ins, retros, or onboarding
More human feedback: Hear tone, hesitation, excitement โ the stuff that matters
Hugging Face AudioFormsNo Hugging Face videos yet. You could help us improve this page by suggesting one.
AudioForms's answer:
Product Managers, UX Researchers, Marketers, Customer Support Teams, Internal Teams
AudioForms's answer:
Hey! Iโm Deepa, a UX Researcher / Designer and a Product Builder. In my past life as a UX researcher, I've spent too many hours transcribing user interviews and sorting through messy notes, so I decided to build something to make my job easier.
Itโs called AudioForms โ a simple way to collect voice responses instead of written ones. Great for getting quick and async feedback without needing to schedule calls or do full interviews.
Why voice surveys? - People talk more naturally than they write - You still get tone, context, emotion - Responses are auto-transcribed and come with sentiment analysis โ so you know not just what they said, but how they felt about it.
Itโs been super useful for async interviews, idea validation, and feedback collection โ perfect for UX Researchers, Product Managers, Marketing and CS teams or anyone looking to get voice-of-customer feedback.
AudioForms's answer:
Lovable, Github, Figma, Canva, Typescript, React
Based on our record, Hugging Face seems to be more popular. It has been mentiond 329 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Download from Hugging Face with a single command. Models come in different quantization levels (compression trade-offs). A 4-bit quantized version is roughly 4x smaller than the full-precision version, with minor quality loss. For most team use cases, the quantized versions are the practical choice because they fit in less GPU memory. - Source: dev.to / 6 days ago
There are a couple of options. One good way to find inference providers for open models is through hugging face (https://huggingface.co). You can select a model and see which inference providers serve it. You can even access it through hugging face. If you just wanted to test a model or have super light work you can get some free access to alot of open source models through nvidia (https://build.nvidia.com). There... - Source: Hacker News / 10 days ago
Both the base and instruct variants of Aether-7B-5Attn, plus a live interactive demo, are publicly available on Hugging Face. Search for VIDRAFT or Aether-7B-5Attn on huggingface.co to find the model cards and repository. - Source: dev.to / 20 days ago
Hugging Face hosts thousands of open models for NLP, vision, and other tasks. The Inference API (via Inference Providers) lets you call those models over HTTP. The @huggingface/inference package from huggingface.js is the Node.js client. - Source: dev.to / 2 months ago
Right now, I don't. If model foo is deleted from HuggingFace but its compare rows are still in the DB, those compare pages will still be served at build time. They'll have the old data until the model's row in models.json is removed โ which only happens if the model falls out of the top-500 in the nightly fetch. It's a known gap. For now, the risk is low; popular models don't disappear. A more robust system would... - Source: dev.to / 3 months ago
OpenAI - GPT-3 access without the wait
Voiceform - Scale customer interviews with voice powered surveys
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.
Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!
Eden AI - Regrouping the best AI APIs for 10mn integration in your code
Theysaid - Conversational AI surveys, interviews, user tests, polls