FOR STREAMING OPERATORS & BROADCASTERS

Cut video delivery costs at the quality you choose.

When every title is encoded with the same settings, many are delivered with more data than your quality standard requires. hls.ai finds the smallest encode that still meets your standard, title by title, and verifies it inside your infrastructure.

VOD & catch-up · Runs in your environment · Start with a few titles

58%

less video data across four test clips
HEVC at a VMAF 95 quality target vs. fixed-setting H.264

Per clip: 44–61% against H.264, 40–59% against fixed-setting HEVC.
Your result depends on your content. Test it on your own footage.

See the evidence

WHERE DELIVERY COST HIDES

Are you delivering more data
than your quality bar needs?

Different titles need very different amounts of data to look the same. A single encoding recipe leaves easy titles far above your quality standard, and you pay to deliver the difference on every play. hls.ai measures that gap on your content and removes it.

Find the over-delivery

Score your current encodes against the source. See which titles sit well above your quality bar, and what those extra bytes cost.

Encode to your quality bar

For each title, find the smallest encode that still meets the target you set, with a floor for the hardest scenes. The output is standard video; no special player.

Verify before you commit

Every result comes with side-by-side video, frame-level quality scores, and processing time, so your team can check the trade-off.

01 / THE APPROACH

Your quality bar.
The smallest encode that meets it.

You set the standard. hls.ai searches for the right setting for each title, then checks the result against the source.

01

Set the target

Choose the quality score your service must hold, and a floor for the hardest scenes. Your current encodes are the baseline.

02

Search each title

A long title is searched on a few short samples, by default four of 5 seconds, not re-encoded in full. Trial encodes cover only those samples, and the full title is encoded once at the end. Our test clips needed five or six trials each.

03

Verify the output

The finished encode is scored against the source, frame by frame. You get the bytes, the scores, and the frames that came closest to the floor.

LONG-FORM

Long titles: optimized chunk by chunk, not once per title.

A two-hour title has easy stretches and hard ones. With one setting for the whole title, the hardest few minutes decide the bitrate for all of it. So for long-form content we optimize chunk by chunk: each stretch gets the smallest encode that meets your quality bar. Keyframes stay on the schedule your HLS packager already uses, so your segments and players stay as they are.

The clips on this page are short single shots, so the results shown are per-title. Chunk-level results are measured on your own long-form titles during an evaluation.

The published results use HEVC at the top rendition and native resolution. Codec, settings, and the rest of your ladder are agreed for each evaluation, with every rendition on the same keyframe schedule. Compute cost per title-hour is measured on your content. Our preprocessing research, on stable-background reuse and per-area frame rates, is in the technical evaluation.

02 / REAL FOOTAGE, MEASURED RESULTS

Set the quality target.
Send fewer bytes.

Encoding to a quality target instead of a fixed setting cut video data by 44–61% on four clips. Watch the comparison first.

BASELINE · H.264QUALITY TARGET · HEVC
First 8 of 18.5 seconds · Resized side-by-side preview · SilentFocus on the face, hands, and moving edges.

Baseline video data

10.096 MB

Quality-target video data

4.218 MB

Measured data reduction

58.2%

Video data avoided per play

5.877 MB

Studio talk, complete 18.5-second clip at 1080p. Baseline: H.264 medium CRF 20. Quality target: HEVC, with the setting selected automatically to keep mean VMAF at 95 or higher. Mean VMAF: 95.88 → 95.56.

Four clips, one quality target

The target for every clip: mean VMAF of 95 or higher, with 95% of frames at 92 or higher. The baseline is H.264 medium CRF 20. The fixed-HEVC column compares with HEVC at one setting for every clip (slow, CRF 20).

Quality-target results for four complete clips
ClipLength · resolutionBaseline · H.264Quality target · HEVCvs. H.264vs. fixed HEVCMean VMAFCompare
Studio talk18.5 s · 1920 × 108010.096 MB4.218 MB58.2% saved47.6% saved95.88 → 95.56Watch
Basketball26.4 s · 2048 × 108025.089 MB10.457 MB58.3% saved53.3% saved97.44 → 95.15Watch
Sword action5.6 s · 1920 × 10809.060 MB5.112 MB43.6% saved39.9% saved97.36 → 96.09Watch
Fireworks13.8 s · 2048 × 108034.154 MB13.198 MB61.4% saved58.5% saved99.87 → 97.39Watch
All four clips64.3 s78.399 MB32.985 MB57.9% saved53.4% saved—Details

This is not an equal-quality comparison: the quality-target encodes score 0.3 to 2.5 VMAF points below the baseline. The H.264 figure combines three effects: the switch from H.264 to HEVC, a slower encoder preset, and stopping at the quality target. The fixed-HEVC figure isolates the last one: same codec and preset, with only the setting chosen per title. Its baseline scores VMAF 97 to 99.9, so it is not an equal-quality comparison either. These are standard encoder controls; hls.ai automates choosing and verifying them. VMAF is a quality metric developed by Netflix, and it is an automated estimate, so judge the footage yourself.

Codec comparisons and our preprocessing research, including the experiments that did not help, are in the technical evaluation.

03 / ENTERTAINMENT CATALOGS

Different scenes.
Different treatments.

Start with representative titles from your catalog. Test each content type against your existing encodes, and select treatments only where quality and savings hold up.

01

Drama & film

Evaluate dialogue, dark scenes, camera movement, and action separately. Preserve faces, texture, and intended film grain while testing where fewer bytes are possible.

02

Anime

Flat colour and held frames may need far less data than live action. Check line art, subtitles, and intentional animation timing at each quality target.

03

Variety & sports

Compare studio segments, on-screen graphics, and fast action. Protect text and motion; keep the existing treatment when an alternative does not help. Start with recorded and catch-up content.

ROUGH ESTIMATE

What would fewer bytes
be worth to you?

Enter your own delivery figures. This is arithmetic on your numbers, not a forecast. An evaluation measures the real reduction on your content.

Delivery cost avoided per month

$3,000

Our test clips showed 44–61% against a fixed-setting H.264 baseline; a pipeline that is already tuned will see less. Assumes delivery billed by volume. Processing cost is not subtracted.

04 / ENTERPRISE PRICING

Your infrastructure.
Our optimization software.

Our primary offer is software running in your environment. Managed processing is a higher-priced option for teams that want us to operate the workflow. Deployment scope and operational requirements are proposed after evaluation.

PRIMARY MODEL / IN YOUR INFRASTRUCTURE

License the software

Run hls.ai inside your own cloud or on-premises environment. Your team operates the workflow and retains control of source footage and outputs.

Source video → hls.ai quality-target encoding → your packager → your storage and CDN

  • You receive optimization software, integration support, and measurement reports.
  • Today it is packaged as a command-line tool. It takes a local file path and returns the selected x265 setting, the encoded file, and a JSON report of every trial and score. It needs FFmpeg built with x265 and VMAF.
  • hls.ai produces verified encodes, or the selected settings for your own encoder. Your packager produces the final HLS playlists and segments.
  • Pricing: annual license + processing usage + agreed support. Your infrastructure costs remain on your account.

OPTIONAL MODEL / MANAGED PROCESSING

Let us run the processing

Provide source footage through an agreed transfer method. We operate the processing and return optimized video outputs with a comparison report.

  • Output: optimized video files, or an HLS package if encoding and packaging are included in the agreed scope.
  • Your team uploads the returned outputs to its existing storage and CDN.
  • Higher custom pricing covers processing operations, compute, temporary storage, and agreed transfer and packaging services.

Evaluation deliverables include MP4 comparison videos and measurements. Production integration, managed workflows, and HLS packaging are scoped and validated separately before deployment.

01 / EVALUATION

Benchmark your content

Scope agreed together

Compare representative footage with your existing encoding pipeline before committing to a production project.

  • Representative sample selection
  • Side-by-side quality assessment
  • Measured bytes and estimated cost impact

02 / PAID PILOT

Validate at catalog scale

Fixed project quote

A defined processing project with agreed content, quality targets, deliverables, and evaluation criteria.

  • Multiple content types and resolutions
  • Integration and processing cost assessment
  • Verified pilot results before expansion

03 / PRODUCTION

Optimize your workflow

Custom annual agreement

Receive a tailored proposal covering the software license, processing volume, and support.

  • Volume-based processing terms
  • Deployment requirements agreed in advance
  • Optional fee linked to verified net savings

What determines the quote?

Content minutes, resolution, encoding outputs, processing intensity, deployment requirements, and support. We assess savings using your actual delivery rates and subtract additional processing and storage costs before discussing a performance fee.

The results above are reductions in video bytes on test clips, not a guaranteed reduction in your streaming bill. Production scope depends on validated quality, economics, and deployment requirements.

Preparing for an evaluation

Useful starting information: representative content you’re permitted to share, current codec and encoding settings, monthly delivered video volume, your billing model, and quality requirements. These let us assess whether reducing bytes could lower your costs.

Services billed by viewing minutes may not directly save money from smaller files. A benchmark should establish both technical improvement and a financial benefit before a production agreement.

WHY WE BUILD THIS

Built by engineers
who paid the bandwidth bill.

When I ran a live-streaming service, the largest invoice every month was CDN transfer. I kept digging into where the bytes come from, across encoding settings, segments, adaptive bitrate, and caching, and wrote what I learned into a 632-page book.

My first idea was to update only part of the screen. When we measured it, it showed no gain over modern encoders. That is why hls.ai is built around measurement rather than assumption, and why we publish the experiments that did not work.

Sho ShimodaCEO · Development

TEAMSho Shimoda (CEO, development), Yasushi Motoki (product development, implementation support), Koichi Nin (development, support)

TOOLSFFmpeg, x265, and libvmaf. Standard tools combined, not a proprietary codec.

COMPANYRECEIPTROLLER Inc., founded in 2022 in Nagano, Japan
Company site

TRY IT IN YOUR ENVIRONMENT

See what your
catalog could save.

Run the evaluation inside your own environment, so your content never has to leave it. If sharing is easier, a few representative titles are enough. Either way, your team gets comparison videos and measurements it can check.

01Pick a few titles and set your quality bar

02Run the evaluation in your environment, or share the files

03Review the results and decide on a pilot

Request a trial in chat

Tell us “I’d like to try hls.ai” in chat. We’ll discuss your content, quality requirements, and evaluation scope.

Engineers: download the tool and measure your own files first →