Loading...
Preparing your workspace
AI Credits in development — stay tuned!AI Credits & Points System: Currently in active development. We're building something powerful — stay tuned for updates!
Many ToolGrid tools are in testing, so you may notice small issues.Tools in testing phase: A number of ToolGrid tools are still being tested and refined, so you may occasionally see bugs or rough edges. We're actively improving stability and really appreciate your patience while we get everything production-ready.
Loading...
Preparing your workspace
YouTube SEO Analyzer evaluates the optimization quality of your video title, description, and tags and returns an actionable score breakdown. You paste your metadata, add a focus keyword, and run analysis to get component scores plus practical recommendations. This solves a core creator pain point where uploads are published without structured SEO review, reducing discoverability and click-through performance. The tool highlights weak areas quickly so teams can improve metadata before publishing. A sample input option helps users understand expected scoring behavior instantly. For advanced workflows, an optional premium AI Assistant generates an improvement plan from overall score patterns, supporting faster iteration and A/B testing decisions. The flow is explicit, stateless, and optimized for repeat pre-publish checks across channels and content series.
Trending YouTube Topic Tool helps creators and channel teams prioritize what to publish by turning topic trend rows into ranked content opportunities. You can paste topic-level data including niche, monthly searches, growth rate, and competition, then run one-click analysis to identify which video ideas have the strongest momentum and realistic ranking potential. The tool computes weighted trend and opportunity scores so planning decisions are based on measurable signals instead of assumptions or outdated topic lists. This solves a common YouTube strategy problem: teams collect many ideas but cannot quickly determine which should enter the next upload cycle. The built-in sample input button speeds onboarding and ensures consistent formatting. An optional AI Assistant is manually triggered to produce a premium publishing roadmap using your analyzed topic trends, while all AI processing remains securely backend-executed.
YouTube Tag Extractor pulls discoverability tags from a public YouTube video URL so creators can analyze how existing videos are positioned for search. Instead of manually inspecting page source, you paste one link and run extraction to retrieve normalized, deduplicated tags with source awareness. The workflow is designed for fast SEO research before drafting your own metadata strategy, competitive benchmarking, and editorial planning. A sample input button makes it easy to test instantly. The core function focuses on extracting available tag data from YouTube page metadata and presenting it in a clean format. For advanced users, an optional premium AI Assistant can turn extracted tags into a prioritized optimization plan, including trimming, expansion, and keyword alignment guidance. The flow is stateless, responsive, and built for repeat analysis across multiple videos.
YouTube Channel ID Finder helps creators and marketing teams quickly resolve canonical YouTube channel IDs from channel URLs, handles, custom links, or direct IDs. You provide a YouTube input string and the tool returns a normalized channel ID, canonical channel URL, detected source type, and confidence score for validation workflows. This solves a frequent operational issue where teams need exact channel IDs for API calls, analytics setups, ad integrations, and reporting pipelines but only have mixed URL formats. The built-in sample input makes onboarding easy and demonstrates expected input structure. An optional AI Assistant can provide a premium workflow checklist for ID validation and metadata standardization when users explicitly request it. Core resolution remains deterministic, stateless, and fast.
YouTube Channel Stats Checker helps creators and analysts evaluate channel-level performance from a YouTube URL, handle, or channel ID in one step. You can run a quick lookup to receive normalized channel identity and key metrics such as subscribers, total views, total videos, average views per video, and an engagement index. This solves a common planning issue where teams need fast baseline channel stats before making content, SEO, or collaboration decisions but only have mixed channel references. Built-in sample input improves onboarding and format clarity. The optional AI Assistant, triggered manually, provides a premium action plan based on channel stats to help prioritize packaging tests, consistency improvements, and topic strategy. Core stats generation remains deterministic, stateless, and backend-processed.
YouTube Comment Extractor helps creators and social research teams gather structured comment data from a YouTube video input in seconds. You provide a video URL or ID plus a comment limit, and the tool returns extracted comment rows with author, text, likes, and publish time details, along with summary metrics such as total comments and average likes. This solves a common workflow bottleneck where teams need audience language and feedback quickly for content planning, sentiment scans, and moderation review but do not want to manually copy comments one by one. A sample input button demonstrates usage immediately and keeps onboarding friction low. The optional AI Assistant is manually triggered and generates an insights action plan from extracted comment themes, while core extraction remains deterministic and backend-processed.
YouTube Video Metadata Viewer helps creators and SEO teams inspect core metadata from a YouTube video URL or ID in one click. The tool resolves video identity and returns structured fields including title, description, channel name, publish date, tags, category, and language so teams can audit discoverability and content packaging quickly. This solves a frequent operational gap where metadata checks are scattered and slow, especially when auditing multiple videos before optimization work. Sample input provides immediate guidance for new users. An optional AI Assistant, triggered manually, delivers a premium metadata improvement checklist based on title length, description depth, tag coverage, and language context. Core metadata extraction remains fast, deterministic, stateless, and backend-processed for consistent output.
YouTube Hashtag Generator creates hashtag sets for video metadata based on your topic, target keywords, and audience. Instead of manually brainstorming tags, you can generate a curated hashtag list in one step and adjust count based on your publishing strategy. The tool is useful for creators who need faster upload workflows while maintaining topical relevance. It transforms plain keyword input into hashtag-ready tokens, deduplicates overlaps, and returns clean output suitable for descriptions and shorts captions. A sample input action helps new users understand expected formatting instantly. For premium users, an optional AI Assistant suggests optimization strategy for hashtag mix quality, balancing broad discovery tags with niche intent-specific tags. All processing is explicit and user-triggered, making the tool reliable for repeat content publishing workflows.