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Narrative

Narrative provides an AI-powered video editor that generates editable timelines from natural language descriptions, allowing creators to turn long or multi-source footage into polished short-form edits. Users describe the desired finished video, and the agent reads transcripts, identifies relevant moments, and builds a fully editable cut with separate video, graphics, and transition tracks. Every interaction is saved as a named version, enabling one-click restoration to any point in the editing conversation.

Traction –/10
HQ unknown
31K+ followers
  • Creator / Creative Economy
  • AI Agents
  • Artificial Intelligence
  • Software Only
Updated 8 days ago

Funding

Raised to date

$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional video editing is time-consuming and tedious, requiring editors to manually watch all footage, log clips, build rough assemblies, and make countless trim decisions before a reviewable cut even exists. This makes producing short edits from long or multiple footage sources—such as podcasts, events, sports highlights, or wedding films—slow and labor-intensive, especially when multiple formats or versions are needed.

Solution

Narrative provides an AI-powered video editor that generates editable timelines from natural language descriptions. Users describe the desired finished video (e.g., "make a 15-second reel of the best rides with a title and music"), and the agent reads the transcript, identifies relevant moments, and builds the cut on a timeline that remains fully editable. Each interaction turn is saved as a named version, enabling users to step back to any point in the editing conversation. The platform supports both small, fast changes (Balanced mode) and complex, longer briefs (Max mode), and can reframe projects from widescreen to vertical while keeping speakers in frame. The output is a real timeline—with separate video, graphics, and transition tracks—not a flattened file, allowing creators to review, revise, and refine collaboratively with the AI.

Target Audience

Primary users are video creators, editors, podcasters, event videographers, sports content producers, and marketing teams who need to convert long or multi-source footage into polished short-form edits (e.g., promotional reels, highlight compilations, social cutdowns) without manual assembly.

Features

  • Conversational editing interface: users describe desired outcomes in plain language and receive completed timeline edits
  • Editable timeline output with separate video, graphics, and transition tracks—never a flattened file
  • Version history: every turn is saved as a named version with one-click restoration
  • Transcript-based analysis: the AI reads footage transcripts to identify and select the strongest moments
  • Two model tiers: Balanced for quick changes, Max for long footage and complex briefs (slower, twice the cost)
  • Aspect ratio reframing: convert from 16:9 to 9:16 with both speakers kept in frame
  • Adaptive clarification: the agent asks questions when a brief is ambiguous before proceeding with the edit
  • Multi-format generation: create several versions or formats from a single description
This profile is AI-generated and may contain inaccuracies.