Built around real creator feedback. This page shows exactly what shipped in the last 30 days, so it is
easy to see how actively Reelify is improving before making a buying decision.
Up Next
Next on the roadmap
This roadmap is intentionally short. If something is listed here,
it is already being built, being prepared for an upcoming release, or far enough along to be shared
publicly with confidence. Anything not listed here is either lower priority, still too early, or
not ready to be promised yet.
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Actively Building
Deeper European Language Support
Improved transcription, caption timing, and highlight detection for German, French,
Spanish, Italian, Dutch, Polish, and Romanian, with added testing on real creator
footage.
English AI clipping is still the strongest today, but
non-English results can already improve noticeably by turning on the Pro Caption Engine
and enabling the Non-English Video in settings.
More Precise Caption Placement
Rolling Out
Finer caption positioning controls so creators can place captions exactly where they want in
the frame, while keeping text clear, readable, and away from key on-screen action.
2+ Hour Video Support
More dependable imports, clipping, captioning, and exports for podcasts, webinars, courses,
and interviews that run well beyond two hours.
Broader Asian Language Support
Improved support for Japanese, Mandarin, Hindi, and additional Asian languages across
captions, transcription, and creator-facing guidance.
Planned Next
16:9 and 1:1 Exports
Rolling Out
Landscape and square output support for YouTube videos, tutorials, presentations, feeds,
and other workflows that need more than a vertical-only export format.
More Caption Styles
Additional caption looks for clean professional videos, creator-led content, and social
formats, while keeping preview and export output closely aligned.
Improved Auto-Framing for Low-Resolution Footage
More reliable subject detection and framing for older recordings, low-resolution videos,
and source files where faces or speakers are harder to track consistently.
Exploring Later
Improved Batch Export Mode
Faster, more dependable multi-clip output with a smoother queueing flow for creators
exporting at scale.
Filler Word Removal
Automatic removal suggestions for filler words, repeated phrases, and dead space, with
creator review before any changes are applied.
Transcript-Based Editing
Edit faster from the transcript, tighten spoken sections more naturally, and navigate long
videos without relying on constant timeline scrubbing.
Manual Clip Selection via Timestamps: Creators can now define custom clips by entering precise start and end timestamps directly, adding a full manual control layer alongside AI-generated suggestions. Perfect for creators who already know exactly which moments to pull — interviews, highlight compilations, or any workflow where editorial instinct should drive the cut list from the start.
Smarter AI Clip Detection for Short-Form Source Videos: Completely reworked the AI highlight detection pipeline for source videos under seven minutes. The model now evaluates short-form content with a purpose-built scoring window tuned specifically for condensed footage, producing tighter, more relevant clip suggestions that consistently surface the highest-signal moments.
Refined Auto-Framing for Single-Subject Content: Elevated the auto-framing engine's precision when a single subject is present in the frame. Tracking now locks onto the primary subject with tighter crop boundaries, reduced drift, and smoother repositioning during natural head movement — delivering noticeably more stable, broadcast-quality framing across solo-speaker recordings, tutorials, and talking-head content.
Persistent Clip Edits: Clip-level modifications — including trim and extend adjustments, manual crop positioning, and Dual Stack layout configurations — are now fully retained as you move between clips and screens during your editing workflow. Every editorial decision stays locked in exactly as configured, keeping the path from first cut to final export seamless and uninterrupted.
Caption Export as SRT & TXT per Clip: Each individual clip's captions can now be exported as standalone .srt or .txt files alongside the video output. Useful for uploading captions separately to platforms, archiving transcripts, or handing off subtitle files to editors and translators working downstream.
Filler Word Removal from Captions (Alpha): Introducing an early-access version of automatic filler word detection and removal within the caption layer. Words like "um," "uh," "like," and other verbal fillers are identified and can be stripped from the visible caption output — producing cleaner, more polished on-screen text without altering the underlying audio track. This is the first iteration of a broader caption intelligence system, with continued refinement shipping in upcoming releases.
Auto-Pause on Edit Navigation: Playback now pauses automatically when navigating from the clip viewer to the editor screen, keeping the editing environment focused and distraction-free while configuring crop, caption, or layout settings. A streamlined quality-of-life improvement informed directly by creator workflow feedback.
Watermark Export Pipeline Hardened: Strengthened the watermark rendering and license validation layer across all export paths, ensuring consistently clean, watermark-free output for all active paid plan holders regardless of export format or aspect ratio configuration.
Original Aspect Ratio Exports: Clips can now be exported at their native source resolution and aspect ratio — including 16:9 landscape and 1:1 square — in addition to the standard 9:16 vertical output. This expands Reelify's export coverage to YouTube repurposing, tutorial distribution, social feed posts, and any workflow that goes beyond vertical-only delivery.
Caption Engine Accuracy & Workflow Improvements: Delivered a focused accuracy pass on the transcription layer, reducing word-error rate on fast speech and domain-specific vocabulary. Alongside that, completely reworked the caption editing experience — clearer contextual messaging, smarter inline hints, and a more structured editing flow that shortens the time from raw transcript to polished, export-ready captions.
Clips Folder Access Directly from the App: Added a one-click shortcut to open the saved clips output folder directly from within the app. Removes the need to navigate through Finder after every export and keeps the post-export handoff workflow noticeably faster.
Per-Clip Output Location: Users can now choose where each individual clip is saved at export time, rather than relying on a fixed default path. Particularly useful for creators managing multiple projects or delivering files directly to client-specific folders.
Refined Auto-Framing & Split-Framing Mode Guidance: Redesigned the in-app contextual guidance for both Auto Framing and Split Framing modes — richer explanations, clearer setup steps, and sharper differentiation between the two workflows. Reduces configuration errors and lowers the learning curve for both new and returning users switching between modes.
Improved Auto-Framing Accuracy: Tightened face detection responsiveness and tracking consistency across a broader range of video types, reducing common drift patterns and frame instability during subject movement and scene transitions.
Caption Vertical Positioning: Added vertical placement controls to the caption editor, allowing creators to set exactly where captions sit in the frame. Move them higher or lower to avoid covering key on-screen subjects or platform UI elements on TikTok, Reels, and Shorts.
Persistent Style Presets & Auto-Caching: Saved styling preferences are now retained across editing sessions. Customize your fonts, weights, shadow backdrops, and active highlight colors once, and they will load automatically for every subsequent project without requiring manual reconfiguration.
Enhanced Multi-Speaker Layout Flow: Redesigned the user experience and configuration panels for both Dual Stack Crop and Split Crop modes, making it significantly easier to define separate cropping parameters for multi-host and reaction layout formats.
More Accurate Caption Preview: Caption preview in the editor now more closely matches the final exported output, reducing the gap between what you see while editing and what renders to the file.
Improved Export Reliability: Strengthened the export pipeline to handle back-to-back rendering sessions more consistently across all device configurations.
Improved guidance and system messaging for non-English users, with clearer support for
multilingual caption setup, language-specific workflows, and caption-related status updates.
Rebuilt caption engine with significantly higher word-level accuracy. Handles fast speech,
overlapping audio, and domain-specific vocabulary more reliably than before.
Caption preview in the editor before export. See exactly how font, size, position, and style
will look on a clip before rendering begins.
New modern white caption styles with clean, high-contrast backgrounds. Well suited for
professional and corporate content.
Estimated export time shown per clip before the queue starts, so batches are easier to plan
around.
Clearer messaging and guardrails when working with large export files or uncommon video
containers. Actionable guidance surfaces instead of vague or silent failures.
New dual stack crop mode for PiP, reaction, and interview-style videos. Stack two speaker feeds
vertically with independent crop controls per track, no manual timeline splitting required.
Substantially improved auto-framing for long-form clips. Face tracking now holds stable across
scene cuts and multi-speaker segments with far less drift.
Resolved reliability issues causing exports to stall, produce corrupted output, or drop audio
sync on clips longer than 10 minutes.