Fair Dealing in India vs US Fair Use: A Creator Guide

Most creator education online comes from American YouTubers talking about fair use. Under Section 107 of the US Copyright Act, fair use is a flexible, four-factor doctrine that judges evaluate on a case-by-case basis. American creators can argue that their use is transformative even if their format does not fit into a neat legal category.

India does not follow the US fair use doctrine. Indian creators operate under Section 52 of the Copyright Act, 1957, which defines fair dealing. Fair dealing is not an open-ended defence. It is an exhaustive list of specific statutory exceptions. If your video does not fit directly into one of the enumerated clauses in the Indian Act, the defence of fair dealing does not apply, regardless of how transformative you believe your edit is.

Under Section 52(1)(a) of the Indian Copyright Act, fair dealing protects the use of work for private or personal use, research, criticism, review, and reporting of current events. For video editors and digital creators, criticism and review are the most relevant categories. If you are reviewing a Bollywood release or critiquing a public advertisement, using short excerpts to support your argument generally falls within the scope of the Act.

However, Indian courts look closely at the intent and quantum of the borrowed material. In cases like Super Cassettes Industries Ltd v. Hamar Television, Indian courts affirmed that the purpose of taking the clip must genuinely be criticism or review of that specific work. Re-using clips simply to make an entertainment vlog more engaging, or building a reaction video where you add minimal commentary over someone else's footage, does not qualify as fair dealing under Indian copyright law.

While Indian substantive law governs disputes filed in Indian courts, everyday content moderation on global platforms runs on American frameworks. Platforms like YouTube, Instagram, and Meta are headquartered in California and operate their automated copyright systems under the US Digital Millennium Copyright Act (DMCA) and their proprietary Content ID systems.

When an Indian music label or film studio registers its catalogue in Content ID, the automated match triggers immediately. Counter-notifications require legal affirmations and can lead to formal copyright strikes. Asserting fair dealing against an automated claim is difficult because platform review queues often apply standard US fair use checklists or defer directly to rights holders. Relying on fair dealing as a growth strategy creates operational friction that can freeze your channel revenue.

Before adding third-party clips, songs, or stills to your timeline, run through these five criteria. If your edit fails even one point, replace the asset with owned footage or properly licensed stock from platforms where you hold clear commercial rights.

This checklist helps you identify legal vulnerability before rendering your final export:

• Purpose: Are you actively reviewing, critiquing, or reporting on the exact clip on screen, rather than using it as background b-roll?
• Proportion: Did you use only the minimum seconds necessary to establish your critique, or did you let the original scene play out?
• Market Impact: Does your video serve as a substitute for watching the original content, potentially reducing their views or sales?
• Attribution: Have you clearly credited the original creator or copyright owner on screen and in your description?
• Licensing: Can this visual point be made using public domain assets, CC0 footage, or low-cost commercial stock licenses in INR?

Editorial discipline saves weeks of dispute correspondence. Instead of uploading and waiting to see if a claim lands, professional creators evaluate third-party dependencies during the rough cut stage. Document where every external clip, sound effect, and background track came from, along with direct proof of purchase or license agreements.

Running an automated copyright risk check inside your editor offers an informational estimate of potential platform flags before you upload. These checks scan audio and visual fingerprints to highlight high-risk segments against known reference databases. While automated risk indicators are not legal advice and cannot prevent manual claims by rights holders, they help you spot untracked background music or over-extended film clips so you can replace them with authorized media before publishing.