%PDF-1.4 %âãÏÓ 1 0 obj << /Type /Catalog /Pages 2 0 R >> endobj 2 0 obj << /Type /Pages /Count 3 /Kids [5 0 R 7 0 R 9 0 R] >> endobj 3 0 obj << /Type /Font /Subtype /Type1 /BaseFont /Helvetica >> endobj 4 0 obj << /Type /Font /Subtype /Type1 /BaseFont /Helvetica-Bold >> endobj 5 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 6 0 R >> endobj 6 0 obj << /Length 5655 >> stream BT /F2 22 Tf 0.06 0.08 0.12 rg 1 0 0 1 46 789.89 Tm (From 8 Hours to 2: How AI Tools Speed Up Video) Tj ET BT /F2 22 Tf 0.06 0.08 0.12 rg 1 0 0 1 46 762.89 Tm (Editing) Tj ET BT /F2 11 Tf 0.72 0.14 0.18 rg 1 0 0 1 46 725.89 Tm (TechRounder PDF Edition) Tj ET BT /F1 9.5 Tf 0.36 0.39 0.46 rg 1 0 0 1 46 709.89 Tm (Live article: https://www.techrounder.com/insights/from-8-hours-to-2-how-ai-tools-speed-up-video-editing/) Tj ET q 0.82 0.85 0.9 RG 1 w 46 691.39 m 549.28 691.39 l S Q BT /F1 10 Tf 0.24 0.27 0.32 rg 1 0 0 1 46 679.39 Tm (By Vipin PG | Published June 30, 2026 | Updated June 30, 2026 | Format: Analysis | 6 min read) Tj ET BT /F2 13 Tf 0.72 0.14 0.18 rg 1 0 0 1 46 656.39 Tm (In brief) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 636.39 Tm (AI shaves hours off video editing by automating the three slowest parts of the process - organizing) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 621.39 Tm (raw footage, cutting and cleaning the edit itself, and repurposing the final video for different) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 606.39 Tm (platforms. Tools like Adobe Premiere Pro, Descript, DaVinci Resolve, and CapCut now handle) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 591.39 Tm (transcription, rough cuts, color matching, and reframing automatically.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 566.39 Tm (If you've edited video for any length of time, you know where the hours actually go. It's rarely the fun) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 551.39 Tm (part - choosing the right cut, building rhythm, finding the emotional beat. It's the grind before and after) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 536.39 Tm (that: scrubbing through forty minutes of footage to find the one usable take, syncing three camera) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 521.39 Tm (angles by hand, writing captions word by word, then exporting the same video five different ways for) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 506.39 Tm (five different platforms.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 484.39 Tm (That grind is exactly what AI has gotten good at. Not replacing editors - most of these tools are upfront) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 469.39 Tm (that they're assistants, not directors - but quietly eating the repetitive 70% of the job so editors can) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 454.39 Tm (spend their time on the 30% that actually requires judgment. Here's where that time actually) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 439.39 Tm (disappears, stage by stage.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 411.39 Tm (Why an Edit Used to Eat a Full Day) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 387.39 Tm (Before getting into what AI changes, it helps to be honest about where the old 8 hours went. A typical) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 372.39 Tm (edit breaks down roughly like this: an hour or two just logging and organizing footage, two to three) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 357.39 Tm (hours cutting a rough version, an hour cleaning up audio and removing filler words, another hour on) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 342.39 Tm (color, an hour on captions, and an hour or more re-exporting and resizing for Instagram, YouTube) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 327.39 Tm (Shorts, and whatever else needs a vertical version. None of that is creative work. It's logistics. And) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 312.39 Tm (logistics is exactly what software is supposed to be good at.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 284.39 Tm (Stage 1: Where AI Saves the Most Time - Before You Even Start Cutting) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 260.39 Tm (The biggest, least glamorous time sink in editing is just figuring out what you have. Scrubbing through) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 245.39 Tm (hours of raw footage looking for one good soundbite is the kind of task that quietly destroys an) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 230.39 Tm (afternoon.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 208.39 Tm (Adobe addressed this directly with Media Intelligence in Premiere Pro, which lets editors search) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 193.39 Tm (through visuals, transcripts, and metadata across thousands of shots in seconds instead of manually) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 178.39 Tm (scrubbing the timeline. DaVinci Resolve does something similar with IntelliSearch, letting you instantly) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 163.39 Tm (search for people and content using plain language, with results appearing as whole clips in the Media) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 148.39 Tm (Pool. Resolve also uses its Neural Engine for automatic facial recognition, which can sort and organize) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 133.39 Tm (clips into bins based on who's in the shot without anyone tagging anything by hand.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 111.39 Tm (Descript skips the search problem altogether by transcribing everything the moment you import it,) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 96.39 Tm (turning your raw footage into a searchable, editable document from the start.) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 1 of 3) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/from-8-hours-to-2-how-ai-tools-speed-up-video-editing.pdf) Tj ET endstream endobj 7 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 8 0 R >> endobj 8 0 obj << /Length 6569 >> stream BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 789.89 Tm (This is also the stage where the biggest time-savings claims come from, and they're not just) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 774.89 Tm (marketing. An industry analysis of AI-assisted video workflows found that editors typically save) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 759.89 Tm (60-90% of prep time, which means the creative decisions about pacing and structure can start almost) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 744.89 Tm (immediately instead of after hours of manual cleanup.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 716.89 Tm (Stage 2: Inside the Edit - Cutting, Cleanup, and Color) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 692.89 Tm (Once the footage is organized, the next time sink is the actual cut: trimming silences, removing filler) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 677.89 Tm (words, fixing audio, and getting the color consistent across clips shot in different lighting.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 655.89 Tm (Descript's whole approach is built around this problem. Because the video is represented as a) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 640.89 Tm (transcript, deleting a sentence deletes that part of the video, and trimming dead air is as simple as) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 625.89 Tm (deleting a line of text. Its AI co-editor, Underlord, goes a step further - it's described as an agentic) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 610.89 Tm (assistant that can take a single instruction like tightening pacing or removing filler words and carry it) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 595.89 Tm (out across the whole project rather than requiring a separate click for every fix. A 2026 independent) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 580.89 Tm (review estimated that this text-based approach reduces editing time by 60-70% for spoken-word) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 565.89 Tm (content specifically, which covers most YouTube videos, podcasts, interviews, and tutorials.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 543.89 Tm (On the Adobe side, Premiere Pro's newer AI tools tackle different parts of the same problem.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 528.89 Tm (Generative Extend can seamlessly add a few extra frames to the beginning or end of a clip, which) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 513.89 Tm (used to mean a reshoot if a take cut off a beat too early. Object Masking now works with a single click) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 498.89 Tm (to identify and isolate an object or person, then track it throughout the shot, a job that used to require) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 483.89 Tm (manual rotoscoping. And Adobe's new Color Mode, which entered public beta in April 2026, was built) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 468.89 Tm (in direct collaboration with hundreds of working editors to make consistent color grading faster) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 453.89 Tm (across a sequence.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 431.89 Tm (DaVinci Resolve handles the color side with its own AI tools - Magic Mask for isolating a subject to) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 416.89 Tm (grade it separately from the background, and Auto Color and Shot Match, which give clips shot at) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 401.89 Tm (different times or on different cameras a consistent look without manual node-by-node adjustment.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 379.89 Tm (Audio cleanup has gotten faster too. Adobe's Enhance Speech tool can clean up dialogue automatically,) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 364.89 Tm (and Premiere now supports bulk bleep or mute across the entire timeline in one go instead of finding) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 349.89 Tm (and fixing each instance individually.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 321.89 Tm (Stage 3: After the Cut - Captions, Translation, and Repurposing) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 297.89 Tm (The final stretch of editing used to mean exporting the same video multiple times: a horizontal version) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 282.89 Tm (for YouTube, a vertical one for Reels and TikTok, a square one for Instagram feed, and captions for) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 267.89 Tm (all of them.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 245.89 Tm (Premiere Pro's Auto Reframe now analyzes a clip, identifies the main subject, and reframes it) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 230.89 Tm (automatically for different aspect ratios while keeping the subject in view. CapCut, which has become) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 215.89 Tm (the default for short-form repurposing, does the same thing with its Smart Reframe and Auto Captions) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 200.89 Tm (tools. One independent reviewer who tested CapCut's AI features over three weeks found that smart) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 185.89 Tm (reframe alone can save 20 to 30 minutes per video compared to manually creating separate edits for) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 170.89 Tm (each platform, and that across all its AI features, CapCut can realistically save 1 to 2 hours per video) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 155.89 Tm (depending on the workflow. A separate hands-on review found that manual captioning of a 10-minute) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 140.89 Tm (video can take 45 to 60 minutes by hand, versus under 30 seconds with CapCut's auto-caption tool.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 118.89 Tm (On the translation side, Premiere Pro can now auto-generate captions in over 27 languages, and) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 103.89 Tm (Descript offers translation and dubbing into 30+ languages with AI-proofread accuracy - both useful) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 88.89 Tm (if you're trying to reach an audience beyond a single market without re-recording anything.) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 2 of 3) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/from-8-hours-to-2-how-ai-tools-speed-up-video-editing.pdf) Tj ET endstream endobj 9 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 10 0 R >> endobj 10 0 obj << /Length 5375 >> stream BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 789.89 Tm (Zoom out across an entire production pipeline and the savings compound. Industry data cited from) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 774.89 Tm (Socialive found that AI assistance on video projects saves an average of 14 hours per project and) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 759.89 Tm (reduces per-video costs by approximately $1,500, while a broader aggregation of research across) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 744.89 Tm (the AI video industry put overall time savings from AI-assisted workflows at 60-80% compared to) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 729.89 Tm (conventional editing pipelines.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 701.89 Tm (So Does "8 Hours to 2" Actually Hold Up?) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 677.89 Tm (It's worth being honest that no two editing projects are identical, so treat the numbers below as a) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 662.89 Tm (directional estimate built from the ranges above rather than a guarantee. But stacked together, they) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 647.89 Tm (show how the math gets there.) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 625.89 Tm (Task: Logging and organizing footage | Traditional time: 1-2 hours | AI-assisted time: 10-15 minutes | Tools) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 612.89 Tm (commonly used: Premiere Media Intelligence, Resolve IntelliSearch, Descript transcription) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 595.89 Tm (Task: Rough cut and trimming | Traditional time: 2-3 hours | AI-assisted time: 30-45 minutes | Tools commonly) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 582.89 Tm (used: Descript text-based editing, Underlord) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 565.89 Tm (Task: Audio cleanup and filler removal | Traditional time: 45-60 minutes | AI-assisted time: 10-15 minutes |) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 552.89 Tm (Tools commonly used: Studio Sound, Enhance Speech, Underlord) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 535.89 Tm (Task: Color grading and matching | Traditional time: 1-1.5 hours | AI-assisted time: 15-20 minutes | Tools) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 522.89 Tm (commonly used: DaVinci Resolve Auto Color/Shot Match, Premiere Color Mode) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 505.89 Tm (Task: Captions and translation | Traditional time: 45-60 minutes | AI-assisted time: 5-10 minutes | Tools) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 492.89 Tm (commonly used: Premiere Translate Captions, CapCut Auto Captions, Descript dubbing) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 475.89 Tm (Task: Reframing and exporting for platforms | Traditional time: 1-2 hours | AI-assisted time: 15-20 minutes |) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 462.89 Tm (Tools commonly used: CapCut Smart Reframe, Premiere Auto Reframe) Tj ET BT /F1 10 Tf 0.18 0.2 0.24 rg 1 0 0 1 46 445.89 Tm (Total | ~7-9 hours | ~1.5-2 hours) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 422.89 Tm (Where AI Still Falls Short) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 398.89 Tm (None of this means an edit is now hands-off. Auto-captions still need a proofread pass - accuracy) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 383.89 Tm (drops noticeably with accents, jargon, or background noise. Auto-reframe can crop out something) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 368.89 Tm (important if the subject moves unpredictably. And the agentic tools, like Underlord, are explicit that they) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 353.89 Tm (work best with clear instructions and a human checking the output, not as a fire-and-forget solution.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 338.89 Tm (The pacing, the story decisions, the "does this actually feel right" judgment calls - that part hasn't) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 323.89 Tm (moved. AI just clears the runway so editors get to that part faster, and with more energy left for it.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 295.89 Tm (Where to Start) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 271.89 Tm (If you're editing solo, the honest move is to fix whichever stage is actually slowing you down rather) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 256.89 Tm (than adopting every tool at once. If you're drowning in raw footage, start with a tool that lets you) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 241.89 Tm (search and transcribe. If your bottleneck is repurposing one video into five formats, an auto-reframe) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 226.89 Tm (tool will save you more time than anything else on this list. Most editors end up stacking two or three of) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 211.89 Tm (these rather than switching their entire workflow overnight - and that's usually enough to feel the) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 196.89 Tm (difference.) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 3 of 3) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/from-8-hours-to-2-how-ai-tools-speed-up-video-editing.pdf) Tj ET endstream endobj xref 0 11 0000000000 65535 f 0000000015 00000 n 0000000064 00000 n 0000000133 00000 n 0000000203 00000 n 0000000278 00000 n 0000000420 00000 n 0000006126 00000 n 0000006268 00000 n 0000012888 00000 n 0000013031 00000 n trailer << /Size 11 /Root 1 0 R >> startxref 18458 %%EOF