🎬

Pixop

Restore and upscale video with automated Video AI workflows

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 🎬 Video AI 🕒 Updated
Visit Pixop ↗ Official website
Quick Verdict

Pixop is a cloud-based Video AI service for film and video restoration, upscaling, denoising and format conversion. It targets post houses, archivists and creators needing high-quality, frame-accurate automated processing through pay-as-you-go pricing. Pixop is best for users who need professional-grade restoration and upscaling without building AI pipelines; pricing is usage-based, so costs scale with footage processed.

Pixop is a Video AI platform that automates professional film and video restoration, upscaling, denoising and format conversion in the cloud. Its primary capability is applying trained neural filters (super-resolution, DNR, deinterlace, flicker removal) to source footage to produce higher-resolution, cleaner masters. Pixop’s key differentiator is a catalog of task-specific pipelines and film/format-aware presets that suit archives, post-production and indie filmmakers. The service is billed per processed minute/pixel and targets post houses, archives, restorers and content owners. Pricing is pay-as-you-go with a free trial credit and tiered paid packages for heavier users.

About Pixop

Pixop is a cloud-native Video AI and restoration platform founded to help archivists, independent filmmakers and post-production teams modernize legacy footage. Originating as a specialist service focused on film and tape restoration, Pixop positions itself between desktop restoration suites and full-service facilities by offering automated, scalable pipelines that run in the cloud. The core value proposition is to deliver frame-accurate restoration and upscaling without requiring customers to maintain GPUs or bespoke software, enabling teams to convert archived or low-res masters into deliverable HD/4K masters via web and API workflows.

At the feature level, Pixop exposes a set of task-specific filters and pipelines. Its upscaling (super-resolution) pipeline increases resolution up to 4K with AI models tuned for cinematic grain retention and edge fidelity. The denoising and DNR filters remove temporal and spatial noise while preserving motion — useful for tape and archival film. Pixop also offers deinterlacing and motion-compensated frame-rate conversion to remove combing and generate progressive outputs; these operate frame-by-frame with scene-aware settings. For film-specific issues, Pixop provides flicker removal and scratch/blemish reduction presets, plus batch job controls and a REST API for automated integrations into existing post workflows.

Pricing is usage-based and oriented around paid credits. Pixop offers a free trial credit for new users to test upscaling and restoration on short clips; there is no unlimited free tier. Paid pricing is offered as pay-as-you-go credits and volume packages; publicly listed small packages start around single-digit to low double-digit USD per credit bundles for short clips, while heavier users and enterprise customers can purchase larger credit bundles or negotiate custom enterprise contracts with priority processing and SLAs. The company also offers team/enterprise options with higher throughput and a custom quote workflow for large archives. Because billing is by processed minute and resolution, costs scale with footage length and output size — suitable for occasional users but potentially costly for long-form content without volume discounts.

Pixop is used by film archivists restoring historical footage and by post-production engineers converting broadcast tapes for streaming. For example, a film archivist uses Pixop to remove flicker and upconvert 2K scans to 4K for preservation masters, while a post-production supervisor uses batch upscaling and denoising to prepare episodic television for HD delivery. Independent documentary producers use Pixop to clean VHS and miniDV sources before editing. Compared to traditional desktop tools, Pixop removes the need to manage local GPU infrastructure; compared to a competitor like Topaz Video AI, Pixop emphasizes cloud batch pipelines, API automation and archival presets as its differentiators.

What makes Pixop different

Three capabilities that set Pixop apart from its nearest competitors.

  • Cloud-first batch pipelines and REST API focused on automated large-scale archives.
  • Film-aware presets (flicker removal, grain management) tuned for archival workflows.
  • Usage-based credit model billed per processed minute/resolution instead of flat monthly render limits.

Is Pixop right for you?

✅ Best for
  • Film archivists who need preservation-quality restoration
  • Post-production supervisors who need cloud batch upscaling
  • Independent filmmakers who must clean and upscale legacy footage
  • Broadcast engineers converting tape masters to progressive HD/4K
❌ Skip it if
  • Skip if you need unlimited free processing for long-form projects.
  • Skip if you require offline desktop-only workflows without cloud uploads.

✅ Pros

  • Cloud batch API enables large-archive automation without local GPU maintenance
  • Film-specific presets (flicker, grain control) reduce manual tuning for restorers
  • Per-minute/resolution billing makes costs predictable for short sample runs

❌ Cons

  • Costs can escalate for long-form projects without negotiating volume discounts
  • Full fidelity previews require processing credits — iterative tuning can add up

Pixop Pricing Plans

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 trial Free One-time trial credit, limited minutes at low resolution Testers and small sample conversions
Pay-as-you-go Per-minute / credit pricing (varies) Billed by processed minute and resolution, no monthly fee Occasional users and small projects
Credit packs Various (volume discounts apply) Larger bundles reduce per-minute cost; expires per policy Frequent users needing predictable cost
Enterprise Custom Custom quotas, priority processing, SLAs and integrations Studios, archives with large catalogs

Best Use Cases

  • Film Archivist using it to remove flicker and upconvert 2K scans to 4K masters
  • Post-production Supervisor using it to batch-denoise and upconvert episodic footage for streaming
  • Documentary Producer using it to clean VHS/miniDV and reduce tape noise by measurable SNR gains

Integrations

REST API (direct integrations) Amazon S3 (asset import/export) Frame.io (via export workflows or integrations)

How to Use Pixop

  1. 1
    Upload source footage
    Sign into the Pixop dashboard, click Upload or drag files into the Projects area. Choose input files (ProRes, MP4, MOV, DPX), confirm upload completes, and you’ll see clips listed in your project library.
  2. 2
    Select a processing pipeline
    Open a clip and click Process to view pipelines. Pick an appropriate preset (Upscale to 4K, Denoise, Deinterlace, Flicker Removal), adjust resolution and output codec, then click Start to queue the job.
  3. 3
    Monitor job and preview results
    In the Jobs or Activity tab watch processing progress; when finished click the preview thumbnail to compare original and processed frames. Use the compare scrubber to confirm artifact removal or grain retention.
  4. 4
    Export or integrate outputs
    After approval select Export to download mastered files or choose Export to S3/Frame.io. Verify output resolution, codec and timecode, then import into your NLE for finishing or archive the master.

Pixop vs Alternatives

Bottom line

Choose Pixop over Topaz Video AI if you need cloud batch automation and an API for large-scale archival pipelines.

Head-to-head comparisons between Pixop and top alternatives:

Compare
Pixop vs Microsoft 365 Copilot
Read comparison →

Frequently Asked Questions

How much does Pixop cost?+
Pricing is usage-based and billed per processed minute/resolution. Pixop provides a free trial credit for new users, pay-as-you-go credit purchases and volume credit packs; enterprise customers can negotiate custom contracts with priority processing and SLAs. Final cost depends on footage length, input resolution and requested output resolution, so estimate by running a test clip to measure credits consumed.
Is there a free version of Pixop?+
Pixop offers a free trial credit for evaluation. The trial gives limited minutes/credits to test upscaling and restoration; there is no unlimited free tier. After the trial you must buy credits or a pack to continue processing. For ongoing high-volume work Pixop recommends credit packs or enterprise pricing to lower per-minute costs.
How does Pixop compare to Topaz Video AI?+
Pixop focuses on cloud batch processing and API automation while Topaz Video AI is desktop GPU software. Pixop suits archives and teams needing server-side automation and integration; Topaz is better for one-off desktop workflows and local iterative tuning when you control hardware and want offline processing.
What is Pixop best used for?+
Pixop is best for archival restoration, tape-to-digital cleanup and batch upscaling to HD/4K. It excels when you need consistent, repeatable pipelines for many clips—flicker removal, denoise, deinterlacing and super-resolution run as automated jobs across catalogs without local GPU administration.
How do I get started with Pixop?+
Start by signing up on pixop.com and claiming your free trial credit. Upload a short sample clip in the Projects area, choose a preset pipeline such as Upscale to 4K or Denoise, run the job and review the preview to validate settings before purchasing additional credits or a pack.

More Video AI Tools

Browse all Video AI tools →
🎬
Synthesia
Create AI-driven video content with realistic avatars
Updated Apr 21, 2026
🎬
Descript
Edit video and audio by editing text with AI
Updated Apr 21, 2026
🎬
D-ID
Create photoreal talking videos with AI-driven video tools
Updated Apr 22, 2026