Fair Dealing in India vs US Fair Use: A Practical Guide for Creators

Many Indian video creators learn copyright principles from American YouTubers and assume the same rules apply everywhere. In the United States, fair use under Section 107 of the Copyright Act is an open-ended, four-factor test. Courts evaluate the purpose of the use, the nature of the original work, the amount used, and the effect on the market. If a work is deemed transformative, US courts often protect it even if it does not fit neatly into a pre-defined category.

Indian law works differently. Under Section 52 of the Copyright Act, 1957, India follows the doctrine of fair dealing. Unlike the US approach, fair dealing in India is an exhaustive, closed list of exceptions. If your video does not fit precisely into one of the designated statutory buckets, the court does not weigh general transformativeness. It simply views the use as an infringement unless you hold a direct licence from the copyright holder.

Section 52(1)(a) of the Indian Copyright Act specifies limited grounds for fair dealing. For digital creators, the two relevant exceptions are private or personal use (including research), and criticism or review of that work or any other work. Section 52(1)(b) allows for the reporting of current events and current affairs, including the reporting of a lecture delivered in public.

To qualify under criticism or review, your video must actively engage with, critique, or analyse the specific material used. Merely using a 10-second clip of a Bollywood song as background music for an unrelated travel vlog does not constitute criticism. Furthermore, the statute mandates fair attribution: you must identify the author and title of the source work unless the creator has chosen to remain anonymous.

Indian courts have consistently held that fair dealing cannot serve as a disguise for misappropriating another person's creative labour. Commercial exploitation without substantive commentary will almost always fail an evaluation of fair dealing in Indian courts.

Digital platforms like YouTube, Instagram, and Facebook operate automated detection systems such as Content ID and Rights Manager. These systems run on US copyright frameworks, including the Digital Millennium Copyright Act (DMCA). When you upload a video in Mumbai or Bengaluru, it is scanned automatically against global fingerprint databases regardless of whether your use qualifies under Indian fair dealing.

If you receive a copyright claim or strike, submitting a counter-notification is a legal declaration. If the claimant decides to pursue formal litigation, Indian creators are subject to the jurisdiction of Indian courts for actions originating in India. Claiming US fair use in an Indian court will not succeed; you must substantiate your defence strictly under Section 52.

Before adding any third-party clip, still image, or audio stem to your timeline, run through a systematic assessment. This checklist helps you determine whether your asset selection aligns with Indian fair dealing principles or requires direct licensing.

Always aim to replace third-party materials with original footage or tracks from royalty-free libraries with clear commercial terms.

• Purpose test: Is the asset used strictly for genuine critique, review, or reporting current affairs?
• Subordination test: Is the borrowed material secondary to your original commentary, or is it the primary entertainment value?
• Quantum test: Have you used only the minimum amount necessary to make your editorial point?
• Attribution check: Have you clearly credited the original creator and title in both the video frame and description?
• Licensing status: If the asset is used for mood, pacing, or aesthetic value, do you possess a valid licence or written permission?

Even when an edit fits within fair dealing principles, automated platform filters can still flag third-party audio and video fingerprints. Incorporating an automated copyright risk check into your pre-export workflow helps identify potential matches before you publish. This gives you time to review flagged segments and adjust your edit.

Automated risk scores provide informational estimates based on public detection patterns; they are not legal guarantees or formal clearances. If a check identifies a high match risk on an unlicensed music track or long film snippet, the safest editorial decision is to replace it with owned or licensed media rather than risking claims, revenue loss, or dispute friction.