Articulate vs Avorate

Articulate is an iOS speech coaching app that analyzes recordings and gives feedback on speaking patterns. Users choose from more than 365 prompts and record an answer of up to 60 seconds. The app reports a clarity score, filler words per minute, speaking pace and a transcript with fillers highlighted; it recognizes more than 14 filler patterns, including “um,” “uh,” “like” and “you know.” Progress tools include streaks, statistics, charts and insights. Pro adds a filler-word timeline, sentence-by-sentence breakdown and personalized tips about filler habits. The app is presented for job interviews, career growth, everyday conversation, presentations and public speaking. The free plan allows three recordings per week and includes scoring and feedback, filler detection, a prompt library and progress tracking. Pro costs $4.99 a month and includes unlimited recordings and advanced insights. Recording requires microphone access, and AI analysis requires an internet connection. The product site says recordings are encrypted, used only for personal analysis, and not shared or sold.

Avorate is an AI coach for building presentations and rehearsing speeches or workplace conversations. It researches a topic, creates slides and writes a corresponding script. You can edit slides in a browser by changing text, rearranging or removing slides, adding new ones, and switching designs; presentations can be downloaded as PowerPoint files for use in PowerPoint, Keynote, LibreOffice or Google Slides. In spoken practice, Avorate assigns a grade and comments on pace, pauses, clarity, filler words and pronunciation. Work practice covers interviews, salary conversations, customer objections, complaints and reporting; the AI counterpart stays in role and follows up when an answer dodges a question. English, German and French are supported for the interface, presentations and evaluations. The browser service works on laptops, tablets and phones. Avorate is in a closed, non-commercial private beta requiring an invite code. Full beta access provides 50 credits once and two hours of analysable speaking time. Recordings and presentation content are not used to train AI models.