AudioForms is a tool that allows for the collection of voice-based feedback using AI-powered audio surveys, providing features to transcribe, analyze sentiment, and visualize data.
Allows users to easily record and submit voice feedback directly through the browser, ensuring a seamless experience with options to play, pause, re-record, and stop recordings, all while securely uploading and storing audio files.
Converts recorded voice input into text using AI models, enabling real-time transcription and handling unclear audio inputs with error management capabilities.
Utilizes AI to evaluate the transcribed text for sentimental content, automatically classifying responses and identifying impactful keywords and phrases for more profound insights.
Transforms insights into graphs and charts to visually represent sentiment distribution, response trends, and survey statistics, complemented by interactive dashboards for filtering and sorting the displayed data.
Allows respondents to record audio responses, capturing emotion-rich feedback. The simple interface supports flexible recording durations, making it easier for users to express their thoughts verbally.
Converts voice responses into text with high accuracy, supports multiple languages and accents, and allows easy export for further analysis, enabling efficient processing of verbal feedback.
Allows users to capture audio recordings of survey responses from participants.
Converts audio survey responses into text for better accessibility and analysis.
Enables users to conduct and analyze survey data for insights.
Allows users to create and distribute surveys specifically for collecting audio feedback, enhancing engagement and understanding through spoken responses.
Automatically generates text transcriptions of audio responses, making it easy to analyze and share data with text-based tools.
Provides detailed analytics and insights from audio responses, helping users to identify trends and make data-driven decisions.
Enables organizations to conduct surveys using voice recordings instead of written responses, allowing for richer and more emotional feedback.
Uses artificial intelligence to analyze voice feedback, evaluating tone, emotion, and inflection for deeper insights.
Provides strategies and techniques specifically designed to increase participation in voice-based surveys over traditional text surveys.
Captures additional emotional cues from voice that are not accessible through text, providing more depth to user feedback.