ऋते ज्ञानान्न मुक्तिःv2.4 Production
Vedic ASR & Editorial Intelligence EngineAdvait Production

Transform 3-Hour Discourses into Profound Editorial Truth

Custom-built for Bhagavad Gita, Upanishadic dialogues, and Vedantic inquiry. Combines Domain-Primed ASR, 1D Temporal IoU Deduplication, and a strict Mathematical Meaning-Preservation Veto to eliminate sensationalist distortion.

ap_studio_preview.mp4 • [00:14:20 → 00:16:35]
AP-Score: 94/100Preservation: 0.96 ≥ 0.68 Cutoff
Speaker: Acharya Prashantश्रीमद्भगवद्गीता Chapter 2

"कर्मण्येवाधिकारस्ते मा फलेषु कदाचन — When action arises from clarity, not personal craving, fear vanishes."

01:45 / 02:15
Veto Guardrail: Passed
Extracted Editorial Candidate #02

Action Without Craving: The Essence of Nishkam Karma

#NishkamKarma#FreedomFromFear#GitaChapter2
Mission Relevance0.96 / 1.0
Meaning Preservation0.93 / 1.0
76M+
Global Subscribers
48B+
Social Video Views
10,000+
Discourse Hours Indexed
100%
Context Preservation Veto
Core Capabilities & Innovation

Engineered for Deep Philosophical Accuracy

Unlike generic video clippers that optimize solely for shallow clickbait, this system was custom-engineered to preserve the nuance and completeness of Acharya Prashant discourses.

Meaning-Preservation Veto Engine

Enforces strict mathematical vetoes (S_preservation ≥ 0.68). Sensational soundbites that distort spiritual context are automatically rejected.

Hybrid Sanskrit & Semantic Search

Combines BM25 lexical token matching for exact Vedantic terms (कर्म, उपनिषद्, सांख्य) with 1024d pgvector cosine similarity via Reciprocal Rank Fusion (k=60).

Multi-Perspective Candidate Registry

Detects candidate windows across Q&A, Stories, and Philosophical Arguments, merging overlaps via 1D Temporal IoU (≥ 0.50) to prune 98% of compute.

PySceneDetect & Visual Cut Snapping

Snaps candidate start and end points to natural camera cuts, avoiding jarring mid-sentence or mid-shot visual glitches.

Single LLM Dispatcher & Qwen3-VL

Selective keyframe inspection and structured JSON analysis using local vLLM, eliminating high per-token cloud API costs.

Human-in-the-Loop Feedback Flywheel

Every editor decision (Accept, Reject, Amend) is stored in PostgreSQL to continuously train and fine-tune candidate ranking models.

Zero-Copy Production Architecture

The 6-Stage Intelligent Pipeline

From raw 4K video ingestion to mathematically verified, context-preserved editorial cuts.

01FFmpeg Ops

Ingestion & Extraction

16kHz audio separation, 480p proxy creation, and keyframe sampling.

02faster-whisper INT8

Vedantic ASR

Domain-primed Hindi/Sanskrit vocabulary transcription with timestamps.

03PySceneDetect

Scene Transitions

Visual shot transition detection for natural cut-point snapping.

0460s-180s Chunker

Semantic Chunking

Pause-aware semantic unit segmentation with 1024d Qwen3 dense vectors.

05Temporal IoU ≥ 0.50

IoU Registry

Multi-perspective candidate deduplication pruning 98% of compute.

06AP Editorial Engine

Veto Scoring

Multi-factor scoring with non-negotiable context preservation guardrails.

High-Precision Editorial Intelligence

Ready to Process 3-Hour Discourses?

Extract profound spiritual insights, maintain non-negotiable Vedantic meaning preservation, and produce publication-ready shorts in minutes.