Replays & Transcripts

Watch videos and search transcripts

Written By Ishaq from MeetCaria

Last updated 5 months ago

Every Interview Is Recorded

Access full video replays and searchable transcripts for every interview.

Video Replays

Accessing Replays

  1. aRecruiter → Completed Interviews

  2. Click candidate name

  3. Click "Watch Replay"

  4. Video loads in browser (no download required)

Video Features

Split-screen view:

  • Left: AI avatar asking questions

  • Right: Candidate responding

Playback controls:

  • Play/pause

  • Skip forward/backward (10 sec)

  • Speed control (0.5x, 1x, 1.5x, 2x)

  • Volume control

  • Fullscreen mode

Question bookmarks: Auto-generated timestamps for each question. Click to jump directly.

Example bookmarks:

  • 0:00 - Introduction

  • 2:15 - Q1: Tell me about your background

  • 5:30 - Q2: Describe your technical experience

  • 9:45 - Q3: Walk through a challenging project

  • 14:20 - Q4: How do you handle feedback?

  • 18:00 - Closing

Keyboard shortcuts:

  • Space: Play/pause

  • ← →: Skip 10 sec

  • ↑ ↓: Volume

  • F: Fullscreen

Sharing Replays

Generate shareable link:

  1. Click "Share" button

  2. Toggle permissions:

    • View only

    • View + comment

    • View + download

  3. Set expiration (24 hours, 7 days, 30 days, never)

  4. Copy link

Share with:

  • Hiring managers (no MeetAI login required)

  • Team members

  • Leadership for final approvals

Pro tip: Share with timestamp. Link starts at specific question.

Downloading Videos

Download options:

  • MP4 (720p or 1080p)

  • Audio only (MP3)

  • With or without avatar (candidate-only view available)

Use cases:

  • Archive for compliance

  • Share offline

  • Include in presentation decks

Storage: Videos stored for 2 years, then auto-archived (Enterprise can adjust).

Watch Speed Tips

1.5x speed: Best for quick review. Still clear, saves 33% time.
2x speed: For very familiar roles. Saves 50% time.
0.5x speed: If candidate has accent or speaks very fast.

Pro tip: Watch at 1.5x for initial screening, normal speed for finalists.

Transcripts

Full Text Transcript

Every interview auto-transcribed with:

  • Speaker labels (Avatar vs. Candidate)

  • Timestamps for every exchange

  • Punctuation and formatting

  • 95%+ accuracy

Example transcript:

[00:00] Avatar: Hi! Thanks for joining today. Let's get started. Can you tell me about your background?  [00:15] Candidate: Sure! I've been working as a software engineer for about 6 years now. I started at a small startup where I was one of the first engineers...  [02:30] Avatar: That's great experience. Can you tell me more about the tech stack you worked with?  [02:35] Candidate: Absolutely. We primarily used React on the frontend and Node.js for our backend services...

Transcript Features

Search functionality:

  • Ctrl+F to search any word or phrase

  • Highlights all instances

  • Jump between matches

Keyword highlighting: Auto-highlights important terms:

  • Technical skills mentioned (Python, React, AWS, etc.)

  • Soft skills (leadership, teamwork, problem-solving)

  • Company names

  • Metrics and numbers

Export options:

  • Plain text (.txt)

  • PDF with formatting

  • Word doc (.docx)

Copy to clipboard: Select any portion and copy for notes or reports.

Keyword Search Across All Transcripts

Global transcript search:

  1. aRecruiter → Search Transcripts

  2. Enter keyword (e.g., "machine learning" or "remote work")

  3. See all interviews where term was mentioned

  4. Click to jump to exact moment in video

Use cases:

  • "Find all candidates who mentioned AWS"

  • "Who has experience with remote teams?"

  • "Show me everyone who discussed startup experience"

Advanced search:

  • Exact phrase: "technical debt"

  • Multiple terms: leadership AND mentoring

  • Exclude: React NOT Angular

Sentiment Analysis (Pro+)

AI detects emotional tone throughout interview:

  • 😊 Positive (enthusiastic, confident)

  • 😐 Neutral (factual, professional)

  • 😟 Negative (frustrated, uncertain)

  • 🤔 Hesitant (unsure, searching for words)

Sentiment timeline: Visual graph showing emotional flow through interview.

Why it matters:

  • Detects passion for certain topics

  • Identifies discomfort areas (red flags)

  • Measures overall confidence level

Filler Word Detection

AI counts filler words automatically:

  • "um," "uh," "like," "you know," "sort of"

Filler word report:

  • Total count

  • Frequency (per minute)

  • Compared to average candidate

Why it matters: High filler word count may indicate:

  • Nervousness (normal for some candidates)

  • Lack of preparation

  • Communication challenges

Pro tip: Don't over-weight this. Some excellent candidates use fillers when thinking.

Question Response Time

Time to first word: Measures how long candidate takes to start answering each question.

Response length: How long each answer was (seconds and word count).

Pace insights:

  • Fast responder (< 3 sec): Prepared, confident, or impulsive

  • Moderate (3-7 sec): Thoughtful, considering answer

  • Slow (> 7 sec): Very deliberate, unsure, or language barrier

Comparative Transcripts (Pro+)

Side-by-side view: Compare 2-3 candidates' answers to the same question.

Example: Q: "How do you handle tight deadlines?"

Candidate A response: [Full answer]
Candidate B response: [Full answer]
Candidate C response: [Full answer]

AI comparison:

  • Who gave most specific examples

  • Who demonstrated best problem-solving

  • Key differences in approach

Use case: Final round decisions.

Pro Tips

Search for deal-breakers: Use transcript search to verify must-have experience was mentioned.

Watch key moments only: Use bookmarks to skip to critical questions, save time.

Share annotated transcripts: Highlight key passages and share with hiring team.

Archive for compliance: Keep transcripts for EEOC/legal compliance (especially for roles with high regulation).