How T!M Works

Transcript !ntelligence Machineβ„’ - Powered by proprietary algorithms and the latest advances in machine learning

REDUCE YOUR GRIND.
REVEAL YOUR BRILLIANCE.

NON-HALLUCINATORY RESULTS

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Exact Quotes
Every word preserved exactly as spoken - no paraphrasing or interpretation
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Correct Speaker
100% accurate attribution - know exactly who said what
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Precise Timestamps
Find the exact moment anything was said in your transcript
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Source Tracking
Every quote linked to its original document and location
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INPUT PHASE

Upload Your Transcript

Upload production transcripts from true crime investigations, legal proceedings, or any documented conversations. Our system handles complex multi-speaker dialogues with perfect accuracy.

  • Accepts .docx, .pdf, and .html formats
  • Handles unlimited speakers and pages
  • Preserves all formatting and timestamps
Example Input
TRUE CRIME TRANSCRIPT - Case #2024-187
Subject: Bodies discovered on farmland property

DETECTIVE HARRIS [00:00:00]: State your name for the record.
FARMER [00:00:03]: John Miller. I own the north field property.
DETECTIVE HARRIS [00:00:08]: When did you discover the bodies?
FARMER [00:00:12]: Tuesday morning, around 6 AM.
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2
EXTRACTION PHASE

Smart Parsing & Speaker Detection

Our AI precisely identifies WHO said WHAT and WHEN. Every statement is extracted with its complete context, speaker attribution, and metadata - zero information loss.

  • Speaker recognition with 100% accuracy
  • Complete statement extraction
  • Context preservation for every quote
Extracted Intelligence
Speaker: FARMER (John Miller)
Statement: "I never saw those bodies before Tuesday morning"
Timestamp: 00:00:23
Context: Response to detective's question
Topics: [bodies, Tuesday morning, discovery, denial]
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KNOWLEDGE GRAPH PHASE

Knowledge Graph Creation

Build intelligent relationships between speakers, topics, and events. Our knowledge graph understands WHO relates to WHAT and HOW, enabling powerful cross-reference analysis.

  • Automatic relationship mapping
  • Topic clustering and connections
  • Timeline reconstruction capabilities
Knowledge Graph
FARMER (John Miller)
β”œβ”€β”€ OWNS β†’ North Field Property
β”œβ”€β”€ DISCOVERED β†’ Bodies
β”œβ”€β”€ DENIES β†’ Prior Knowledge
└── QUESTIONED BY β†’ Detective Harris

Timeline: Discovery @ 6AM β†’ Police @ 6:15AM β†’ Interview @ 8:30AM
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INTELLIGENCE OUTPUT

Intelligent Search & Results

Ask any question and receive EXACT ANSWERS with perfect attribution. No hallucinations, no confusion about speakers - just pure factual intelligence from your transcripts.

  • Natural language queries
  • Speaker-specific searches
  • Contradiction detection
Query Result
QUERY: "What does FARMER say about the bodies?"

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πŸ“ EXACT QUOTE: "I never saw those bodies before Tuesday morning"
🎀 WHO SAID: FARMER (John Miller)
⏱️ TIME CODE: 00:00:23
πŸ“„ SOURCE: True_Crime_Interview_Case_2024-187.docx
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βœ“ 100% Accurate Speaker Attribution
βœ“ Zero Hallucinations
βœ“ Complete Context Preserved

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