Languify
LanguifyAI · Leaning
Languify is an AI communication coach from LanguifyAI that runs spoken English practice, mock interviews and progress dashboards for students, colleges and training teams.
About Languify
What Is Languify
Languify is a browser-based interview preparation platform built by LanguifyAI, an Indian company founded in 2020 with offices in Bhopal and Bengaluru. The product started as an English speaking coach and grew into two lines of work: Teach & Train for classroom verbal assessments, and InPrep for job interview practice. A third product, Case Master AI, handles case-style interviews for consulting and product roles.
The core idea is volume. A student can talk to the AI as many times as they want, at any hour, and get a score plus written notes on what went wrong. Institutions get the same conversations rolled into dashboards, so a placement officer can see which students need help before a real interview does the judging.
The limits matter too. Languify coaches English communication, not French, Spanish or any other language. Pricing is quoted in Indian rupees and institutional plans go through a sales call. There's no public API and no native mobile app, so everything runs in the browser. The company says it has served over 100,000 students across India, Europe and Africa and works with more than 30 institutes, figures that come from Languify itself rather than an independent audit.
Getting Started
- Open languify.in and pick a path: InPrep for interview practice or Teach & Train for coursework. Both offer a free trial session before you pay.
- Choose a job role, a domain or a topic, then set the difficulty or experience level. The AI builds the question set from that.
- Answer out loud. The session behaves like a conversation, and follow-up questions adapt to what you just said.
- Read the report, then repeat the session. Scores are stored so you can compare attempts over weeks.
Product Information
A quick look at Languify's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- College students preparing for campus placements
- Placement and training officers
- Career switchers who freeze in interviews
- Teachers running verbal assessments
Tasks
- Mock interview drills before a real one
- Spoken English practice
- Classroom viva and oral exams
- Case interview practice for consulting roles
Scenarios
- Placement season crunch
- Building a speaking habit between classes
- Institutional reporting
Key features
Adaptive Mock Interviews
The AI asks a question, listens to the answer, and picks the next question based on what it heard. Languify says its bank holds more than 1,000 questions gathered from over 100 companies and job profiles. You pick the role and experience level first, so a fresher doesn't get a senior architect script.
Scored Feedback on Speech and Content
Every answer comes back with a breakdown across 25 or more parameters in InPrep, and 8 in Teach & Train. The split covers delivery, such as pace and clarity, and content, such as structure and relevance. You also see a model answer next to yours, which is often more useful than the score itself.
Personalised Improvement Paths
Weak areas turn into suggested resources rather than a bare number. Languify points you to short learning material and nudges, and the platform tracks whether the next attempt actually improves. It works best if you treat the suggestions as a to-do list and not as light reading.
Dashboards for Institutions
Placement cells get a view of every student's attempts, scores and skill tags. They can filter candidates by assessed level when a recruiter asks for a shortlist, and spot a cohort that's slipping before the placement drive starts. This is the feature that justifies the per-student business price.
Gamified Practice and Micro Lessons
Streaks, levels and short lessons sit on top of the interview drills. The point is retention: students come back on their own instead of being chased. Languify claims a library of more than 1,000 learning items, mostly short reads and exercises tied to interview topics.
White Label Deployment
Colleges and companies can put their own branding on the platform when they integrate it. That matters for institutes that want one login for students rather than a third-party logo in the middle of their placement portal.
Pros and cons
Pros
- Unlimited attempts at a fixed per-student price, so practice volume doesn't drive cost.
- Feedback covers both how you speak and what you say, with a model answer for comparison.
- Institutional dashboards turn individual practice into data a placement office can act on.
- Free trial session lets you test the AI before committing, which is rare for a sales-led edtech product.
- White labeling keeps the student experience inside your own portal.
Cons
- English only. If you need another language, this isn't the tool.
- No public API and thin public documentation, so integration work falls on Languify's team.
- Pricing is listed in rupees and business plans start with a call, which slows down anyone outside India.
- No native mobile app. Practice on a phone means using the browser, and that's a worse experience for audio.
Frequently asked questions
It's used for spoken English practice and interview preparation. Students run mock interviews with an AI interviewer, get scored feedback, and repeat until answers hold up. Colleges use the same engine for classroom verbal assessments.
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