Sarah Mitchell

Updated 2026-06-21

AI Tools We Actually Use (and Recommend)

These are the tools that have earned a place in our regular workflow because they demonstrably save time without compromising output quality.

Auto-Captions: CapCut and Descript

AI-generated captions are now accurate enough for production use on clear English dialogue. Both CapCut (free) and Descript ($12/month Creator) achieve 95–98% accuracy on clear audio. CapCut is the better choice for social media-formatted captions: it generates styled, animated caption blocks formatted specifically for TikTok, Instagram Reels, and YouTube Shorts, with font style, size, position, and animation all optimized for vertical video. The workflow is: import clip → click Auto Captions → review and correct errors → export. This process takes 10–15 minutes for content that would take 45–60 minutes of manual entry.

Transcript-Based Editing: Descript

Descript's core feature is genuinely transformative for interview and dialogue-heavy content: edit the video by editing its text transcript. Delete a sentence from the transcript and the corresponding video and audio are automatically removed. Rearrange paragraphs and the clips follow. This workflow reduces a 2-hour interview edit from 3–4 hours of NLE timeline work to 45–60 minutes of text editing. The Overdub feature (AI voice matching to correct stumbles and filler words) is impressive in demos but requires careful human review before use in client deliverables — the AI voice, while accurate, lacks the subtle inflection variations of natural speech.

Background Removal: CapCut and DaVinci Resolve Studio

CapCut's background removal handles simple subjects against relatively uniform backgrounds with impressive speed and accuracy — processing a 60-second clip takes under 30 seconds. It struggles with fine hair detail and transparent objects. DaVinci Resolve Studio's Magic Mask (part of the Studio subscription or the $295 one-time license) uses the Neural Engine to create motion-tracked masks of subjects across an entire clip. The quality is significantly better than CapCut for complex subjects, and the result integrates directly into the Resolve color and compositing workflow. For professional background removal on important clips, use Magic Mask. For quick social media backgrounds, CapCut is fine.

Noise Reduction: NVIDIA RTX Voice and iZotope RX

NVIDIA RTX Voice (free for RTX GPU owners, available through NVIDIA Broadcast) runs in real time during recording or calls, removing keyboard noise, fan noise, and background audio with impressive effectiveness. For post-production audio cleanup, iZotope RX's AI modules (Dialogue Denoise, Voice De-noise, De-hum) produce professional results and are our go-to for client audio work. RX Elements ($99 one-time) covers the essential modules. Neither tool requires subscription; both deliver genuine quality improvement.

Auto-Color Starting Points: Colourlab Ai

Colourlab Ai ($29/month) analyzes your footage and generates a starting grade based on a reference image or a style selection. The output quality as a starting point is genuinely useful — it gets you to a workable grade in minutes rather than building from scratch, especially for challenging log footage from cameras you are not familiar with. It does not replace a colorist's judgment or eye, but it eliminates the blank-canvas paralysis of starting from a flat, desaturated log image. Use it as a first pass and refine manually.

AI Tools We Tested But Do Not Regularly Recommend

Honesty requires discussing the tools that did not meet our standards for regular use. These are not necessarily bad products — some are impressive for specific niche use cases. But they are not ready for the broad adoption their marketing suggests.

Runway Gen-2

Runway Gen-2 creates short AI-generated video clips from text prompts or reference images. The output is genuinely impressive for what it is — generating video from nothing is a remarkable technical achievement. The problem is consistency: the same prompt generates different results each time, motion artifacts are common, and physics behavior (water, fire, cloth) often looks wrong in ways that are immediately noticeable. For abstract, stylized, or atmospheric content, Gen-2 has a place. For anything representing reality in client work, the inconsistency makes it unreliable. Reassess in 12 months — the technology is advancing rapidly.

Pictory

Pictory automatically summarizes long videos into shorter clips using AI, and can create videos from text scripts by matching licensed stock footage to keywords. The summarization quality is reasonable for pure content extraction, but the resulting clips lack editorial judgment — they select based on keyword density and volume, not emotional weight or narrative importance. Useful for internal corporate content and social media repurposing of structured content (webinars, long-form interviews). Not appropriate for any content where the editor's judgment matters.

Synthesia AI Avatars

Synthesia generates video presentations using AI-generated human avatars speaking your provided script. The quality has improved markedly — the avatars look relatively natural at a glance. The problem is that audiences can usually tell. The micro-expressions are wrong, eye contact behavior is unnatural, and the uncanny valley effect undermines the credibility of the content. Appropriate for: internal corporate training where cost and speed matter more than authenticity. Inappropriate for: any content where viewer trust, engagement, or emotional connection matters.

Adobe Firefly Video

Adobe Firefly Video launched with strong marketing and a clear value proposition: AI video generation and editing within the Creative Cloud ecosystem. As of mid-2026, the feature set remains limited compared to its potential: generative fill for video (filling gaps in footage) works well for short durations and simple backgrounds, but struggles with complex environments and longer clips. Text-to-video is in early access with limited resolution and duration. Monitor the Firefly roadmap — integration with Premiere Pro workflow will be significant when the quality matures.

AI for Scriptwriting and Production Planning

Some of the most practical AI assistance for video creators is not in the editing suite at all — it is in the planning and scriptwriting phase.

Script and Outline Development

Claude, ChatGPT, and similar large language models are useful as brainstorming and drafting partners for video scripts. They are best used to generate rough outlines, suggest structural variations, and identify gaps in an argument or narrative — not to write final scripts wholesale. The output requires significant human editing for voice, authenticity, and accuracy. Our workflow: describe the video concept to the AI, get a structural outline, use that as a starting point, and write the final script ourselves. This process is roughly 30% faster than starting from a blank page.

Thumbnail Concept Generation

AI image generation tools (Midjourney, DALL-E 3, Adobe Firefly) are useful for generating thumbnail concept variations quickly. Rather than spending time in Photoshop trying different layouts, generate 10–20 concept variations using text prompts, identify the most promising approaches, then execute the final version properly in Photoshop or Canva. This is faster than traditional concept development and often surfaces ideas you would not have reached manually.

The Ethics of AI Video Tools

AI video tools introduce questions that professional editors and creators should engage with intentionally, not ignore.

Copyright and Training Data

Most AI video generation models were trained on footage that includes commercially licensed, rights-managed, and in some cases copyrighted material — often without consent or compensation from the original creators. The legal landscape around this is evolving rapidly, with several significant lawsuits in progress as of 2026. If you use AI-generated footage in commercial work, check the specific platform's terms of service carefully regarding ownership, commercial rights, and indemnification.

Disclosure When Using AI

Transparency is both an ethical obligation and a practical brand consideration. If significant portions of a video were AI-generated (not just AI-assisted in editing), disclosure is increasingly expected by audiences, and in some contexts (advertising, news) may be legally required. For AI-assisted editing — auto-captions, noise reduction, color matching — disclosure is generally not necessary. For AI-generated visuals used as real footage, disclosure is essential.

What Is Coming in AI Video Editing (2026–2027)

Based on current trajectories, here is what we expect to become standard practice within the next 18 months.

What Will Likely Become Standard

• Auto-captions everywhere: Every major platform will offer automatic captioning as a native upload feature, making third-party captioning tools less necessary. YouTube already does this; Instagram and TikTok are expanding it.
• Smart cut detection and removal: AI that identifies and removes filler words, stumbles, and silence from dialogue footage automatically — with human review — will become part of standard NLE feature sets, not premium add-ons.
• AI-assisted color matching: Camera matching AI will improve to the point where intercutting footage from 3–4 different cameras requires minimal manual grading for basic consistency correction.
• Real-time background removal: Frame-accurate, hair-preserving background removal in real time during editing, not just as a rendered effect after the fact.

What Probably Will Not Replace Human Editors

Story structure, emotional pacing, and the instinct for which moment deserves more screen time — these remain human decisions. An AI can identify that two clips are technically cut-able together. It cannot know whether the cut is emotionally right. The editors who will thrive are those who leverage AI tools to eliminate low-level mechanical work while developing sharper instincts for the high-level craft work that AI cannot replicate.

For a deeper look at editorial craft, see our advanced video editing techniques guide. For the organizational systems that professional editors use, see our video editing workflow guide.