Automatic video editing and clip creation for creators
Gling is an AI-driven video editing assistant that automatically trims, assembles, and formats long-form footage into short clips, ideal for solo creators and small teams who publish frequent social video content; it offers a usable free tier and paid plans starting at a modest monthly price, balancing accessibility with export limits for higher-volume editors.
Gling is an AI video editing tool that automatically trims and produces social-ready clips from long-form footage. It scans audio and visuals to find highlights, removes dead air, applies jump cuts, and suggests pacing and subtitles — saving editors hours of manual cutting. Gling’s key differentiator is automation focused on creator workflows (YouTube, Twitch, podcasts), serving solo creators, small agencies, and marketers who repurpose long recordings. The product ships both web and cloud processing and has a free tier for limited exports alongside paid monthly plans for heavier use in the video AI category.
Gling is a web-based Video AI tool launched to automate the repetitive parts of editing long-form content into short clips. Founded to serve creators and small teams, Gling positions itself as a time-saver that reduces editing from hours to minutes by focusing on jump cuts, highlight detection, and export-ready aspect ratios for social platforms. The core value proposition is to let users upload raw recordings — such as livestream archives, webinars, or long podcast episodes — and receive trimmed, captioned clips optimized for platforms like YouTube Shorts, Instagram Reels, and TikTok without detailed timeline work.
Gling’s feature set centers on automated clip detection, multi-format exports, and simple timeline overrides. The AI automatically scans audio energy and speech patterns to mark highlights and split points, removes long silences and filler words, and generates suggested edit points. It creates captions/subtitles automatically using speech-to-text, lets you batch-export multiple aspect ratios (vertical, square, landscape), and offers simple scene rearrangement in a web timeline. Gling also includes options for automated color and exposure adjustments and integrates with cloud storage for direct uploads. The tool’s UI emphasizes one-click exports and batch processing so creators can quickly produce dozens of short clips from a single long video.
Pricing is offered as a freemium model with clear upgrade thresholds. The free tier lets users process a limited number of minutes per month (suitable for testing and light use) with watermark-free or watermarked exports depending on current promotions. Paid plans start at a low monthly price for individuals, unlocking higher monthly minute quotas, faster queue priority, and additional exports and aspect ratios; a Team/Business tier raises minute allowances and adds multi-seat collaboration and priority support. Enterprise/custom pricing is available for very high-volume publishers with dedicated quotas and SSO. Exact minute quotas, seat counts, and overage rates are listed on Gling’s pricing page and may change, so check the site for up-to-date numbers.
Gling is commonly used by YouTubers repurposing long episodes into shorts, podcasters creating social clips, and marketing teams that need frequent short-form assets. For example, a Video Producer at an independent YouTube channel uses Gling to generate 10–20 short clips from a single 90-minute episode, cutting edit time by hours. A Social Media Manager at a small agency uses it to convert weekly webinars into daily short posts, maintaining cadence without hiring extra editors. Compared to competitors like Descript, Gling is more narrowly focused on automated clip extraction and batch exports rather than full transcript-based overdubbing, making it a complement or alternative depending on workflow needs.
Three capabilities that set Gling apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Limited minutes/month for processing, basic exports, limited queue priority | Try-before-buy, very low-volume creators |
| Creator | $9/month | Higher minutes/month, batch exports, no watermark on exports | Solo creators repurposing weekly videos |
| Team | $29/month | Multi-seat, larger minutes quota, priority processing | Small teams and agencies producing regular clips |
| Enterprise | Custom | Custom minutes, SSO, SLAs, dedicated support | Large publishers requiring tailored quotas |
Copy these into Gling as-is. Each targets a different high-value workflow.
Role: You are an automated video editor that extracts short, attention-grabbing vertical clips from a long-form episode. Constraints: produce exactly 15 clips, length 15–60 seconds, vertical 9:16, no overlapping footage (allow up to 2s overlap if necessary), prioritize high audio energy (laughter, emphatic statements), remove dead air, apply quick jump cuts, auto-generate SRT subtitles and one-line captions. Output format: JSON array with objects: {id, start_time, end_time, length_sec, reason, caption(≤100 chars), subtitle_srt_snippet(5 lines), thumbnail_timecode}. Example item: {"id":"Short_01","start_time":"00:12:34","end_time":"00:13:05","reason":"funny banter"}.
Role: You are a podcast highlight editor creating social-ready clips. Constraints: extract 5 highlights 30–90 seconds each, remove filler words and dead air, add burned-in subtitles (accurate to transcript), include a one-sentence social caption and 2 hashtag suggestions per clip. Output format: numbered list with: {clip_number, start_time, end_time, length_sec, short_caption(≤120 chars), hashtags[2], notes_for_thumbnail}. Example: 1) {start_time:"00:45:10", end_time:"00:46:05", length_sec:55, short_caption:"Why remote teams scale faster", hashtags:["#podcast","#remotework"]}.
Role: You are a social video planner and editor who converts a single webinar into daily short clips for one workweek. Constraints: produce 25 clips (5 per day), 40–60 seconds each, label by day (Day1_Clip1...), include theme for each day, suggested caption (≤140 chars), 3 hashtags, recommended upload time (timezone variable), and one thumbnail text suggestion. Output format: CSV-ready JSON array where each object: {day, clip_id, start_time, end_time, length_sec, theme, caption, hashtags[3], upload_time_local, thumbnail_text}. Example theme: "Key Takeaway: Conversion Funnel".
Role: You are an editor building a 3-minute montage of the streamer's best moments. Constraints: total runtime ≤180s, include 8–12 segments, each 8–25s, select high-energy, funny, and emotional beats, avoid music with copyright risk (recommend royalty-free tracks), add fast-paced transitions and caption cards for context, and provide cut order optimized for arc (hook → peak → resolution). Output format: Edit Decision List (EDL) JSON: [{segment_no, start_time, end_time, length_sec, category, edit_note, suggested_bgm}]. Example segment: {1,"00:05:12","00:05:28",16,"funny","add jump cut, zoom crop","energetic_royaltyfree_01"}.
Role: You are a senior video strategist creating platform-optimized A/B variants from long-form footage for TikTok, Instagram Reels, and YouTube Shorts. Multi-step: 1) analyze footage and pick 6 candidate segments; 2) produce two variant treatments per platform (A: personality-forward, B: information-forward) with exact start/end times, subtitle style, CTA timing (seconds), thumbnail text, and export settings (resolution, bitrate, format); 3) provide brief rationale for each variant. Output format: JSON with platform keys containing arrays of variant objects. Few-shot examples: TikTok A: {start:"00:10:05",end:"00:10:35",cta_at:28,sub_style:"large white"}, TikTok B: {...}.
Role: You are a video SEO specialist preparing clips for discoverability across platforms. Multi-step: identify 10 clips (30–90s) with high search intent, produce for each: start_time, end_time, keyword-optimized title (≤60 chars), three 120–160 char description variants, 10 hashtag/keyword tags, one-line social caption, and full SRT content block for the clip. Output format: JSON array of 10 objects: {id, start_time, end_time, title, descriptions[3], tags[10], caption, srt_text}. Example SRT snippet: "1\n00:00:00,000 --> 00:00:04,000\nThis is the line."
Choose Gling over Descript if you prioritize automated clip extraction and batch aspect-ratio exports for high-volume repurposing.