Guides
Step-by-step walkthroughs, grouped by the job you are trying to do.
Transcription & captions
Getting text out of video and audio, and doing captions properly.
- How to Transcribe a TikTok Video TikTok is a harder transcription job than YouTube — short, fast, music-heavy and often with no clean caption track. Here is what actually works.
- How to Transcribe a YouTube Video (Free, With Timestamps) Turn any YouTube video into searchable, timestamped text you can copy, quote and repurpose — in about thirty seconds, with nothing to install.
- Captions, Transcripts and Getting Video Accessibility Right Captions are an accessibility obligation, a legal requirement and an SEO asset at once — and auto-generated ones satisfy fewer of those than teams assume.
- How to Make Video Findable in Search Search engines cannot watch your video. Everything they know comes from what surrounds it, and all of that is within your control.
Previews, thumbnails & teasers
Choosing the frame or clip that decides whether anyone presses play.
- How to Transcribe a TikTok Video TikTok is a harder transcription job than YouTube — short, fast, music-heavy and often with no clean caption track. Here is what actually works.
- A/B Testing Thumbnails and Previews Without Fooling Yourself Thumbnail tests are easy to run and easy to misread. How to design one whose result you can actually act on.
- Turning One Shoot Into Many Assets The cheapest video you will ever publish is video you already shot. A workflow for getting considerably more out of one recording.
- Thumbnails: The Cheapest Lever on Video Engagement Viewers decide whether to click in well under a second, and the thumbnail drives that decision. Most teams still choose theirs at random.
- Short-Form Vertical Video Without a Dedicated Team Most publishers treat short-form as new production and quietly abandon it. The ones that sustain it treat it as a format for work they already do.
- What Video Teasers Are, and Why They Work A teaser is a short cut from a longer asset whose only job is to sell the watch. What separates an effective one from a wasted opportunity.
Measurement & performance
What to measure, what to ignore, and how to test without fooling yourself.
- A/B Testing Thumbnails and Previews Without Fooling Yourself Thumbnail tests are easy to run and easy to misread. How to design one whose result you can actually act on.
- Live Streaming: What Breaks at Scale A live stream that works for a hundred viewers can fail badly at a hundred thousand. The failure modes are predictable, and mostly preventable.
- Embedded Video Players and the Cost of a Slow Page An embedded player that slows the page costs you the very viewers it was added to attract. What to measure, and what to defer.
- Metadata Is Not Enough: What Video Analysis Adds Most video recommendation still runs on titles, tags and dates — a thin description of a video, and a hard ceiling on discovery.
- What to Measure in Video Analytics (and What to Ignore) Most video dashboards are full of numbers nobody can act on. A short list of the metrics that actually change a decision.
- Video on Connected TV: What Changes on the Living-Room Screen Connected TV is not a bigger phone. Distance, input method and posture change what works, yet most teams port mobile assumptions across unchanged.
- Thumbnails: The Cheapest Lever on Video Engagement Viewers decide whether to click in well under a second, and the thumbnail drives that decision. Most teams still choose theirs at random.
- Automating Video Production: What to Hand Over First Not every video task is worth automating, and the order matters. A practical sequence for deciding what to hand over first.
- Video Monetisation: Where Publisher Revenue Actually Comes From Video revenue is a function of impressions, fill and rate. Most teams push on the one with the least headroom.
- Why Most Video Libraries Go Unwatched Most teams publish far more video than anyone ever watches. The bottleneck is rarely production quality — it is how each asset gets presented.
- How Video Personalisation Actually Works Personalisation gets described as magic and built as a ranking problem. What these systems actually do, and how they reliably fail.
- What Video Teasers Are, and Why They Work A teaser is a short cut from a longer asset whose only job is to sell the watch. What separates an effective one from a wasted opportunity.
- How to Make Video Findable in Search Search engines cannot watch your video. Everything they know comes from what surrounds it, and all of that is within your control.
Monetisation
Where publisher video revenue comes from and which levers you control.
- Programmatic Video Advertising, Explained Plainly The video ad supply chain in plain terms — who the parties are, where the money goes, and which levers a publisher genuinely controls.
- Rethinking Ad Formats for OTT and News Audiences raised on streaming will not sit through advertising designed for broadcast. Publishers moving to OTT need a different approach.
- Video Monetisation: Where Publisher Revenue Actually Comes From Video revenue is a function of impressions, fill and rate. Most teams push on the one with the least headroom.
AI & automation
Which tasks are worth handing to a machine, and which are not.
- Running Several AI Models From One Interface Models are not interchangeable, and most people end up with several subscriptions to find out which suits a task. A look at the combined-interface alternative.
- GIF and Video Face Swap: How AskAI.free Handles Moving Frames Swapping a face in a still photo is a solved problem. Doing it consistently across every frame of a GIF or a video clip is a different job entirely.
- Where AI Actually Helps Video Teams (and Where It Doesn't) A practical split: the video tasks machine learning genuinely improves, and the ones where it reliably produces work nobody wants.
- Turning One Shoot Into Many Assets The cheapest video you will ever publish is video you already shot. A workflow for getting considerably more out of one recording.
- Metadata Is Not Enough: What Video Analysis Adds Most video recommendation still runs on titles, tags and dates — a thin description of a video, and a hard ceiling on discovery.
- Automating Video Production: What to Hand Over First Not every video task is worth automating, and the order matters. A practical sequence for deciding what to hand over first.
- How AI Actually Changed Online Video Machine learning moved from the edge of video production to its centre. A look at what genuinely changed — and what was oversold.
- How Video Personalisation Actually Works Personalisation gets described as magic and built as a ranking problem. What these systems actually do, and how they reliably fail.
Live, streaming & OTT
Real-time packaging, delivery at scale and the living-room screen.
- Live Streaming: What Breaks at Scale A live stream that works for a hundred viewers can fail badly at a hundred thousand. The failure modes are predictable, and mostly preventable.
- Programmatic Video Advertising, Explained Plainly The video ad supply chain in plain terms — who the parties are, where the money goes, and which levers a publisher genuinely controls.
- Real-Time Highlights: Cutting Clips While the Broadcast Is Still Running A live clip is worth most in the minutes right after it happens — a window far shorter than manual editing takes. What real-time packaging requires.
- Why Sports Video Became Its Own Technology Category Sports used to be a vertical application of broadcast technology. Direct distribution turned it into a technology problem in its own right.
- Video on Connected TV: What Changes on the Living-Room Screen Connected TV is not a bigger phone. Distance, input method and posture change what works, yet most teams port mobile assumptions across unchanged.
- Rethinking Ad Formats for OTT and News Audiences raised on streaming will not sit through advertising designed for broadcast. Publishers moving to OTT need a different approach.
Tools
Practical walkthroughs of the tools we use and recommend.
- How to Transcribe a TikTok Video TikTok is a harder transcription job than YouTube — short, fast, music-heavy and often with no clean caption track. Here is what actually works.
- How to Transcribe a YouTube Video (Free, With Timestamps) Turn any YouTube video into searchable, timestamped text you can copy, quote and repurpose — in about thirty seconds, with nothing to install.
- Running Several AI Models From One Interface Models are not interchangeable, and most people end up with several subscriptions to find out which suits a task. A look at the combined-interface alternative.
- GIF and Video Face Swap: How AskAI.free Handles Moving Frames Swapping a face in a still photo is a solved problem. Doing it consistently across every frame of a GIF or a video clip is a different job entirely.
Everything else
These are the practical, step-by-step pieces. For the wider writing — analysis, strategy and the arguments behind the guidance — see the blog, or the FAQ for short answers.