App guide

PDF Extractor

Extract PDF text and pictures, or convert pages into editable Word, Markdown, HTML and RTF on Mac, iPhone and iPad.

Our take

Reuse PDF content on Mac, iPhone and iPad

Consider PDF Extractor 1.02 for focused content reuse rather than a full PDF editor. It describes local conversion and OCR with a one-time full-access purchase. Try a representative file before upgrading; our earlier version 1.01 iPhone image sample does not establish version 1.02 conversion quality or Mac behavior.

Before you choose: Content recovery, not full PDF editing; check the saved conversion and keep the original. Earlier alpha-loss findings concern version 1.01 only.

Visit the official product page →

The essentials

Platforms
macOS · iPhone · iPad
Purchase model
Free limited use · one-time full-access purchase, no subscription
US App Store snapshot
v1.02 · minimum OS 15.0 for iOS/iPadOS; check the Mac-specific listing separately · Free to download. In-app purchases may be additional.
Checked 2026-10-24 · Verify current listing
App Store rating
3.0/5 · 2 ratings · US · 2026-10-24
Apple listing snapshot, not an iApp4Me score or a rating of one particular feature.
Cost before you commit

Price & purchase options

  • Free: first 3 PDF pages for conversion, up to 3,000 characters of plain text, up to 20 supported embedded images
  • Full Access: one-time purchase; no subscription. Confirm the current regional amount before purchase.

Version 1.02 documents the free boundary. The older US $2.99 snapshot is historical, not a current checkout quote. Cross-device purchase restoration has not been verified.

US listing · provider-described access · checked 2026-10-24 · Verify the current offer ↗. Taxes, promotions and checkout eligibility may change the amount.

Who it suits

  • Recovering editable content without a subscription
  • Reusing text and pictures on Mac, iPhone or iPad
  • Choosing Word or text-oriented formats for the next editing step

When to choose something else

  • Full PDF editing, redaction or signature management
  • Guaranteed preservation of complex layouts or transparent graphics
  • Assuming cross-device availability implies automatic file sync
Beyond the product page

What reviewers and users say

Our summaries of linked accounts—not our own experience or a vote-based ranking. Older versions and different platforms are labeled. Sources reviewed October 18, 2026.

No third-party evaluation of PDF Extractor’s exact image-extraction task is included in this selection. Our own sample is described separately from third-party accounts.

PDF Extractor · External coverage: We searched the exact product name and App Store ID on October 18, 2026. No suitable independent evaluation of this image-extraction workflow was located for this edition. Store facts and our small, separately labeled iPhone sample are available; this is a coverage gap, not evidence of broad approval or disapproval.

How to read disagreement

Different opinions can reflect different jobs, versions, devices or paid plans. We do not call a few comments “the consensus.” A consequential factual conflict that remains after checking those differences is a candidate for a focused hands-on test. A preference for one interface over another usually is not.

Features & tradeoffs

Features below come from the linked provider documentation. The recommendations above are our editorial interpretation.

  • Word (.docx), Markdown, HTML and RTF export
  • Provider-described local PDF processing and on-device OCR for scanned pages
  • Text extraction, selectable embedded images and ZIP export
  • Content previews, including Markdown/HTML source views; resizable previews on Mac
  • Free allowance: first 3 PDF pages, up to 3,000 plain-text characters and up to 20 supported embedded images
  • One-time unlock for full-document conversion, unlimited supported image extraction, page ranges and clipboard copying
Partial iPhone evidence · Oct 18, 2026

Our small-sample findings

Both apps recovered the three unique pictures. PDF Extractor saved PNGs to Photos; iLovePDF returned JPGs. Neither preserved the transparent sample. These findings apply to this iPhone run, not every PDF.

Read the test results, method and limitations

PDF Extractor 1.01 returned four PNGs; iLovePDF 4.1.0 successfully returned three JPGs in the follow-up. The fixture contains three unique raster assets placed four times, so three outputs are consistent with resource deduplication, not a missing unique picture. Both retained the sample dimensions; neither returned transparency. PDF Extractor matched the RGB/scan reference pixels, while iLovePDF JPG pixels differed. This limited sample is not an overall ranking; no comparative winner is established.

Known limitation: transparency was not preserved in this saved output. The input contains an RGBA image and a PDF soft mask; the returned 320 × 320 PNG is RGB, with every decoded alpha value equal to 255. We have not isolated whether the loss occurred during extraction, saving to Photos or subsequent transfer. Do not describe this path as lossless for transparent images.

PDF Extractor: returned PNGs

SampleReturned dimensionsObserved result
Repeated RGB picture640 × 480, twiceBoth returned PNGs match the reference RGB pixels and dimensions. Their file hashes also match each other.
Transparency sample320 × 320Transparency not preserved: returned PNG is RGB, not RGBA. Color channels match, but the alpha channel is absent.
Synthetic scanned image800 × 1100Returned PNG matches the reference RGB pixels and dimensions.
Vector-only pageNo raster picture expectedNo additional vector-chart picture appears among the four returned exports. This is not a missing embedded raster image.

Workflow and access

The PDF Extractor recording begins with the test PDF already open. It shows image selection, saving four images to Photos, the photo-add permission prompt and opening a saved result. No purchase prompt is visible in this run; the tester reports no paid entitlement. This demonstrates this four-image save only—not an unlimited free allowance or a verified import walkthrough.

iLovePDF: successful follow-up, three unique images

The first import attempt was blocked, but the follow-up recording shows importing the fixture through Documents, choosing PDF to JPG → Extract images, and completing extraction. Three JPGs were returned: 640 × 480, 320 × 320 and 800 × 1100. All three unique raster assets are represented; the repeated placement is not a fourth unique image. This is consistent with deduplication, not proof of a missing picture.

The JPGs retain those dimensions but do not match the reference pixels exactly. JPG output does not preserve alpha transparency. The recording shows one free task remaining out of two for that day after completion; this is an observed counter, not a guarantee of future pricing or allowances.

Sharing friction (tester-reported): saving to Photos was not straightforward, and the tester appeared to need individual AirDrop transfers to the Mac. The supplied recording ends at the results list; it does not demonstrate the sharing attempts or rule out a batch-share option. Batch saving and sharing remain unverified—not established as unsupported.

Device, method and remaining limits

iPhone Air · iOS 27.0.1 (tester-reported). App versions supplied by the tester: PDF Extractor 1.01; iLovePDF 4.1.0. The results apply to the supplied sample and recorded workflow.

We inspected the initial recordings, the successful iLovePDF follow-up, four returned PNGs and three returned JPGs. Comparisons use decoded pixels, not file size or thumbnail appearance. The table above describes PDF Extractor outputs; the iLovePDF findings are separately described below it. The two repeated RGB outputs are intentional placements of one source image, not two distinct source assets. Pixel equality here does not imply identical file encoding, metadata or color-profile behavior.

The recording visually identifies our four-page synthetic fixture, but no input PDF was returned for a byte-level identity check. The controlled reference has three raster assets placed four times, plus a vector-only page. These findings concern this sample and save path only.

Still untested: iPad, batch-sharing options, other save/share destinations, broader free limits, large and protected PDFs, offline operation and network traffic. No speed benchmark or privacy certification is claimed. Raw recordings are not published because they include personal gallery content.

Limitations & considerations

  • The October 18 image evidence concerns PDF Extractor 1.01 on iPhone. Its returned transparency sample lost alpha. Version 1.02 has not been retested for this issue; do not claim it is fixed or unchanged.
  • Word/OCR quality, complex tables, reading order and layout fidelity have not been benchmarked. Reflowed output is editable content, not a guarantee of matching page composition.
  • Mac availability and local processing are described by the provider, not independently verified. Check Mac system requirements and purchase eligibility; no Intel support, automatic sync or cross-device purchase-restoration guarantee is established here.
  • The stated free allowances and one-time purchase come from the version 1.02 description. Confirm the current local checkout amount and access before a large export; the older $2.99 listing is not a newly verified price.

Documented features, attributed opinions and explicitly labeled hands-on observations are different kinds of evidence. We do not infer unmeasured performance or privacy guarantees.

Privacy & permissions

The current listing describes local PDF processing and on-device OCR. This is a provider statement, not a network audit. Your chosen cloud file destination or receiving app can have separate data-handling rules.

Sources

Product facts checked October 24, 2026. Independent and user perspectives, where available, are attributed above. Missing external coverage is not treated as a negative verdict.

  1. PDF Extractor — App Store

    Developer description, screenshots, compatibility and privacy declaration; not independent testing.

  2. PDF Extractor 1.02 · live Apple metadata

    Checked October 24, 2026; released October 23. Documents Word (.docx), Markdown, HTML and RTF conversion, local OCR, Mac/iPhone/iPad support and specific free allowances. Provider statements, not a new device benchmark.

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