Table of Contents

Video Generation Using AI in 2025 | Full Workflow Explained

|

|

Video Generation Using AI in 2025 | Full Workflow Explained

Artificial-intelligence video tools no longer ask “Can you edit?” – they ask “What do you want to say?” In 2025 a solo creator, marketer or small-business owner can paste a paragraph into a browser and download a polished, captioned clip minutes later. The secret is understanding workflow: the sequence of tools and tasks that turns raw ideas into watch-ready video at scale. This 2 500-plus-word deep dive breaks that workflow into seven practical stages: ideation, scripting, generator selection, asset prep, automated rendering, polishing and distribution – and anchors each stage with research-backed context, step-by-step tactics and the most beginner-friendly platforms (including an honest look at what vidBoard does and doesn’t do).


1. Why 2025 is the tipping point for AI-first video workflows

  1. Search engines reward motion. Google’s March 2025 Helpful-Content update explicitly boosted pages embedding original video, pushing text-only articles down the results page. (Search Engine Land)
  2. Viewer trust keeps climbing. Wyzowl’s 2025 report shows 82 % of consumers bought a product after watching a brand video—an all-time high. (Wyzowl)
  3. Costs have collapsed. Cloud diffusion models now render 1080 p in seconds; vendors can offer HD exports on freemium plans or sub-$30 subscriptions. (Wyzowl)
  4. Mobile generation is mainstream. Google’s Veo 3 animates a single phone photo into an 8-second clip with sound, while CapCut delivers free 4K edits on iOS and Android.
  5. On-device AI is around the corner. Qualcomm’s 2025 demo of diffusion video on its new AI PC chip hints at real-time, offline generation within two years. (Qualcomm)

Take-away: Failing to integrate video into content strategy now means fighting uphill against algorithms and consumer preference later.


2 · The Seven-Stage AI Video Workflow

StageGoalCore Tools
1. IdeationNail the hook & angleChatGPT, Notion AI
2. ScriptingProduce a tight, on-brand scriptvidBoard Script AI, Google Gemini, Claude 3
3. Generator SelectionMatch tool to outcome & budgetvidBoard, OpenAI Sora, Runway Gen-4
4. Asset PrepGather logos, images, voice samplesCanva Brand Kit, Google Photos
5. Automated RenderingTurn text into 1080 p MP4vidBoard, Veo 3, CapCut
6. PolishingCaptions, aspect ratios, colour tweaksVEED, CapCut Desktop, Premiere Firefly
7. Distribution & AnalysisPublish, track, iterateBuffer, YouTube Studio, TikTok Analytics

Below we zoom into each stage with tactics and beginner-proof instructions.


2.1 · Stage 1 — Ideation: choose a problem, promise a result

  • Start with a pain point. Explainer videos convert 73 % of viewers, making them 2025’s most effective single video type. (Wyzowl)
  • Hook formula: “You struggle with X → Here’s Y in Z minutes.”
  • AI brainstorming prompt: “List 5 pressing questions SaaS founders have about onboarding.”

2.2 · Stage 2 — Scripting: 120–150 words per minute of video

  1. Draft in ChatGPT or Gemini. Give the model your hook, target audience and CTA.
  2. Tighten in vidBoard Script AI. Paste raw bullets; the tool spits back a voice-over script already optimised for lip-sync timing (commas and full stops inserted).
  3. Check readability. Aim for Flesch 60–70; shorter sentences keep AI captions tidy.

2.3 · Stage 3 — Generator selection: pick the right engine

ScenarioBest toolWhy
Bulk explainers, document → videovidBoardReads PDFs/URLs, 100+ avatars, lifetime pricing
Photoreal 20-sec teaserOpenAI SoraIndustry-leading realism up to 20 s (The Verge)
Photo-to-motion social bumpGoogle Veo 3Animates stills with sound in 60 s
Cinematic B-roll or product heroRunway Gen-4Camera-path control, object consistency
Phone-only recording & editCapCut Creative SuiteFree 4 K, auto-captions

vidBoard accuracy snapshot (from internal project docs)

  • Inputs accepted: raw text, Word/PDF docs, public URLs.
  • Outputs: 1080 p MP4, optional square or vertical; no 4 K yet.
  • Media: 100+ photoreal stock avatars (plus custom from an image), faceless layouts, royalty-free music library.
  • Language & voice: 125+ languages; voice cloning via 30-second sample.
  • AI helpers: Script generator, caption generator, auto-scene splitting.
  • Pricing: Free tier (2 vids/mo); Lifetime Tier 1 $99 once for 30 watermark-free renders/mo; higher tiers increase quota.
  • Limitations: No timeline trim on mobile PWA, no advanced motion-graphics layer.

2.4 · Stage 4 — Asset prep: logos, fonts, voice, images

AssetHow to prepBeginner tip
LogoUpload PNG to vidBoard/Canva brand kit1000 × 1000 px with transparent BG
Brand coloursSave HEX codes (#4CC3FF etc.)Paste into vidBoard theme panel
Voice sample30-second clear recordingQuiet room, USB mic or phone Voice Memos
Product photosShoot in daylight, 1080 pVeo 3 can animate single shots
Stock B-rollGrab from Runway or CanvaKeep 5–8 s segments for later cuts

2.5 · Stage 5 — Automated rendering: text → talking video

Workflow A — vidBoard (document to video)

  1. Dashboard → Document to Video → upload PDF.
  2. Select template: Avatar left / text right or faceless full-screen text.
  3. Choose voice: cloned sample or native TTS (male/female).
  4. Click Generate. Average 90-second script = ~3 min render.

Workflow B — Veo 3 (photo to video)

  1. Open Gemini mobile → Veo.
  2. Select photo → prompt: “Slow zoom, upbeat café ambience.”
  3. Tap Create. 60 s cloud render.

Workflow C — CapCut (mobile quick-cut)

  1. Import phone clip.
  2. Smart Cut removes silences.
  3. Auto Caption with on-brand font.
  4. Export 4 K (trim outro if staying free).

2.6 · Stage 6 — Polishing without technical headache

  • Captions & translation: Upload vidBoard MP4 to VEED → Subtitles → Auto. Tweak colours, export Spanish captions too.
  • Aspect-ratio variants: Use VEED’s Resize to clone vertical (9:16), square (1:1) and horizontal (16:9) in one dashboard.
  • Colour grading: For cinematic B-roll, drop Luma or Runway clips into CapCut’s Colour Match to sync tones.
  • Compression: HandBrake preset “1080 p Fast” if social platforms reject >100 MB uploads.

2.7 · Stage 7 — Distribution & analytics loop

ChannelUpload tipMetric to watch
YouTubeAdd keyword “video generation using AI” in title; chapters for each tipAvg. view duration
TikTok/ReelsHook in first 1.5 s; add on-screen textWatch-through rate (WTR)
LinkedInSquare aspect, subtitles burnedClick-through to landing page
EmailGIF thumbnail + play button linking to videoClick-to-open rate

After 48 h, pull analytics into a spreadsheet; iterate Hook & first 10 s on low performers.


Example: 48-hour AI video sprint for a SaaS side-hustler

DayTaskTool chainOutcome
Fri 6 pmDraft 150-word feature update blurbChatGPTScript ready
Fri 6:30 pmGenerate main videovidBoard Avatar left / text right90-s 1080 p MP4
Fri 7 pmGenerate B-rollRunway prompt “dashboard fly-through neon style”2 x 6 s shots
Sat 9 amCaption & resizeVEED auto-caption; output vertical, square3 aspect-ratio files
Sat 10 amPost vertical to TikTok & IG; square to LinkedInBuffer scheduleAll channels covered
Sun 10 amReview stats; retention dips at 8 sYouTube StudioPlan tighter hook for next sprint

Total spend: <$99 (if you grab vidBoard’s lifetime deal). Total hands-on time: ~2.5 hours.


Final thoughts

Video-first algorithms aren’t slowing down, and neither should you. By chaining beginner-friendly AI tools – ideate in ChatGPT, generate in vidBoard, polish in VEED, spice with Runway or Veo, post via Buffer—you can turn a lunchtime idea into a cross-platform campaign without touching a timeline or hiring an editor. Keep scripts concise, front-load hooks, respect aspect ratios and let the machines sweat the frames.

Ready to see your words talk? Open a free vidBoard account, drop in your first paragraph and watch an HD video appear before you finish scrolling this page → Try vidBoard for free.

Try vidBoard Now 👇🏻

Turn documents, links, or text into engaging videos with 100+ AI avatars, 125+ languages, and zero editing skills.

Share this blog on social media