Every marketing team can record footage. What they cannot do cheaply is edit it. A freelance editor producing four to eight polished short-form clips per month costs $1,000 to $3,000. Captions is an AI video editing app that automates the filler word removal, captions, B-roll, and post-production polish that previously required a human editor for every video.
Every marketing team can record footage. A founder sits in front of a camera and talks for fifteen minutes, and the recording is essentially free. The editing is where the money goes. A freelance video editor producing short-form content in 2026 charges between $75 and $200 per finished clip at the intermediate tier, and a social media retainer covering four to eight polished videos per month runs $1,000 to $3,000. A team trying to maintain consistent video output across LinkedIn, Instagram Reels, and YouTube Shorts spends between $12,000 and $36,000 per year on editing before a single person picks up a camera.
Captions is an AI video editing app that handles the post-production work on talking-head footage automatically. You record yourself speaking, upload the file, and the platform removes filler words and dead silence, applies animated captions in your chosen style, adds B-roll, background music, and sound effects, and outputs a finished video formatted for whatever platform you're posting to. The editing session that used to take a human editor two to three hours takes minutes.
What the editing workflow actually costs
The expense is rarely the camera or the recording setup. Most talking-head marketing video is shot on a phone or a basic USB webcam, and the recording session itself might take an hour. The expense is everything that happens to the footage afterward.
A freelance editor working short-form social content needs to review the raw recording, cut out filler words and awkward pauses, add caption overlays timed to the speech, select B-roll or graphics to illustrate key points, add music under the voiceover at the right level, and export at the correct resolution and aspect ratio for each platform. None of that is technically hard, but all of it takes time. At a mid-level freelancer rate of $40 to $80 per hour, a finished ninety-second video typically costs between $80 and $240 in editing labor. A team posting three times per week pays between $960 and $2,880 per month for editing alone.
Managed social video programs add coordination overhead on top of the editing. A project manager, a revision cycle, and a fixed content calendar push the monthly cost to the higher end of the $1,000 to $3,000 retainer range. The editing is not the only thing in that number, but it is the largest single component.
What Captions does with the footage
The platform's AI Edit feature applies the post-production stack in one pass. After upload, the AI identifies and removes filler words and pauses, trims the clip to remove dead time, applies transitions and zoom effects, selects and places B-roll from stock footage or AI-generated imagery, adds background music calibrated to the clip's pacing, and overlays animated captions synced to the speech. The result is a finished, platform-formatted video.
The caption feature supports more than 100 languages and includes over 100 styling templates on the paid plan. Caption timing and styling, which used to be a manual step in any editing workflow, is handled in the same automated pass. A chat-based editor lets you request specific changes in plain language rather than navigating a traditional editing timeline, handling requests like "make the captions larger" or "swap that B-roll shot."
Captions runs as a mobile app and web platform, which positions it for the short-to-medium format range rather than long-form documentary or broadcast content.
The cost comparison with real numbers
Captions' Max plan is priced at $24.99 per month, which includes 500 AI credits and the full generative editing stack. A free plan is available with basic trimming and transitions, without the AI editing and B-roll generation features. The free plan is useful for assessing the interface but not representative of what the platform does at the workflow replacement level.
A team producing eight short-form videos per month at a mid-range freelance editing rate of $150 per finished clip spends $1,200 per month, or $14,400 per year. The same volume at $24.99 per month costs $300 per year. The comparison is not subtle.
The caveat worth reading carefully is the credit system. At 500 credits per month on the Max plan, the per-video credit cost depends on the length of the raw footage and the complexity of the edits. Teams producing longer videos or using compute-intensive features like AI-generated B-roll will consume credits faster. Anyone planning to use Captions at volume should map their actual production against the credit math before committing to a tier, since overage charges convert the low monthly price into a different number.
Who this is wrong for
Captions is built for talking-head video. The AI editing applies a structural template to a single speaker recording. Teams producing interview content with two or more speakers, documentary-style video with complex scene structure, or narrative brand campaigns with scripted cinematography are not the target use case. The platform takes what you recorded and makes it presentable; it does not help you plan, script, or structure a video before you record it.
The platform is also the wrong choice when creative judgment matters as much as efficiency. A skilled human editor makes pacing decisions, selects the two seconds of footage that best captures a moment, and shapes a story arc within a clip. Captions applies a style and removes problems. It does not make creative choices of the kind that distinguish a genuinely compelling video from a technically acceptable one. For brand content where the edit is part of the expression, the automation is a shortcut that shows.
Organizations producing video for regulated contexts where every frame requires legal review before posting face a different constraint. The speed advantage disappears if your review process is the binding constraint, not the editing.
What the gap reveals
The talking-head video backlog is a real problem for most marketing organizations. The calendar is sparse not because the team lacks things to say or people willing to say them on camera. It is sparse because editing is the bottleneck, and editing cost is a per-unit expense that scales with volume. Every additional video means another editing invoice. When that invoice compresses to a fixed monthly subscription and a few minutes of processing time, the volume constraint moves somewhere else: scripting, strategy, and whether the content is worth watching in the first place. The harder problem turns out to be upstream of the timeline, and it was always there. The editing cost was just obscuring it.