MCP servers for text recognition
MCP servers whose description mentions extracting text from images.
140 servers 0.3% of 42,239 in the directory
This category in numbers
- 75 54 % Execution location: local
- 104 74 % Repository URL listed: yes
- 115 82 % Required secrets declared: no
- 65 46 % Delivery form (raw): remote
The most frequent value per property, counted across the entries of this category. The full distribution is further down.
Entries
Filter further
- Execution location: local
- Execution location: remote
- Required secrets declared: no
- Required secrets declared: yes
- Repository URL listed: yes
- Repository URL listed: no
- recently updated first
Entries 51 to 100 of 140
| PDF To Text | io.github.Jim-Panse/pdf-to-text |
|---|---|
| PDF to Markdown & Document Parser | io.github.fernandoguiraud16-coder/document-to-markdown-tables |
| PDF to Markdown (pdf2md.dev) | dev.pdf2md/pdf-to-markdown |
| PDF4me | io.github.pdf4me/pdf4me-mcp |
| PDFHaul MCP | com.pdfhaul.www/mcp |
| PageProof | site.chatgpt.alert-crab-1890.pageproof/pdf-extract |
| PaperOffice AI | io.github.paperoffice-ai/paperoffice-mcp |
| Paxa Labs | com.paxalabs/mcp |
| Pointframe MCP Server | io.github.dimitar-radenkov/pointframe-mcp |
| Razi Document Tools | io.github.razikallayi/razi-documents |
| Razi Tools | io.github.razikallayi/razi-tools |
| Receipt Extraction | com.acjlabs/receipt-extraction |
| Rosetta PDF | io.github.Jcjimenezglez/rosetta-mcp |
| Scanverion | com.scanverion/scanverion |
| Screen Control | io.github.Xeakaes/computer-use-for-all-agents |
| ScribeTools | com.scribetools/scribetools |
| SmartPDF | ru.smartpdf/smartpdf |
| Social → Context | io.github.mcp-dir/socialdl-mcp |
| Stashot | io.github.tammifull/stashot |
| Suparse Document Processing | io.github.suparse/suparse-mcp |
| Syftly | io.github.Lodewijkheemskerk/syftly |
| TVPulse | io.tvpulse/tvpulse |
| Talkthrough | io.github.korovin-aa97/talkthrough-mcp |
| Tanod | dev.tanod/tanod |
| Tanod Docs | dev.tanod/docs |
| Tanod Images | dev.tanod/images |
| TinkyVision | io.github.AgewellEPM/tinkyvision |
| Toolora MCP Server | io.github.Mistakili/toolora-mcp |
| Ui.Vision MCP | io.github.A9T9/uivision-mcp |
| VeilQuota | io.github.omkardongre/veilquota |
| ai.filegraph/document-processing | ai.filegraph/document-processing |
| ai.fluxink/fci-mcp | ai.fluxink/fci-mcp |
| ai.roc/mcp | ai.roc/mcp |
| com.auto-reader/ocr | com.auto-reader/ocr |
| com.diemdesk/mcp | com.diemdesk/mcp |
| com.mart402/extract | com.mart402/extract |
| com.mcparmory/pdfco | com.mcparmory/pdfco |
| deAPI MCP Server | io.github.deapi-ai/mcp-server-deapi |
| dev.bigapi/mcp | dev.bigapi/mcp |
| doc-convert-mcp | dev.ioconnex/doc-convert-mcp |
| eKYC Suite | io.github.wefi-ai/ekyc-suite |
| ellmos FileCommander | io.github.ellmos-ai/ellmos-filecommander-mcp |
| flatmark | dev.flatmark/flatmark |
| flatmark | dev.flatmark/markdown-converter |
| fm-mcp | io.github.yrangana/fm-mcp |
| geld machen x402 agent utilities | dev.fly.geld-machen-x402/agent-utilities |
| image-ocr | co.kymac.ocr/image-ocr |
| doc-convert-mcp in namespace io.github | io.github.Anon2052/doc-convert-mcp |
| pdf-toolkit-mcp in namespace io.github | io.github.EigenCharlie/pdf-toolkit-mcp |
| ox402-utils in namespace io.github | io.github.Hasned-spec/ox402-utils |
All 140 entries in the list, with filters and pagination
What this category selects
| Field of use, derived from the vendor description | Text recognition derived from: Description (raw) |
|---|
A derived value carries its original data beside it; the derivation rule is published, with a version, on the methodology page.
Caveats, distribution and query
What this category does not say
- Field of use, derived from the vendor description is not declared but computed: from Description (raw). The rule is published, with a version, on the methodology page.
What is measured is what a manifest declares, not what a piece of software does. This registry fetches no repository URL, no endpoint and no package index; nothing here is verified. Which value comes from which source, and by which rule it was formed, is set out in the Methodology.
Every sentence here follows from the condition above, not from an assessment.
How this category is distributed
Delivery form (raw)
140| remote | 65 46 % |
|---|---|
| package | 63 45 % |
| package and remote | 8 5.7 % |
| neither | 4 2.9 % |
Execution location
140| local | 75 54 % |
|---|---|
| remote | 65 46 % |
Repository URL listed
140| yes | 104 74 % |
|---|---|
| no | 36 26 % |
Repository platform (raw)
140| github | 104 74 % |
|---|---|
| nothing declared | 36 26 % |
Required secrets declared
140| no | 115 82 % |
|---|---|
| yes | 25 18 % |
Icon formats (raw)
140| nothing declared | 126 90 % |
|---|---|
| image/png | 8 5.7 % |
| image/png, image/svg+xml | 4 2.9 % |
| image/svg+xml | 2 1.4 % |
Per property, the measured values inside this category. The share refers to the 140 entries of the category, not to the registry. Shown are 6 of 7 properties: those whose values spread the most inside this category.
The same category through the interface
curl -s "https://api.tracevero.com/v1/eintraege?art=mcp_server&einsatzgebiet=texterkennung&grenze=200"
The command carries exactly the condition of this page. 140 entries at 200 each are a single request; the total is in the X-Gesamt header.
Changes to these entries
https://tracevero.com/aenderungen.atom?thema=einsatz-texterkennung
Both addresses narrow the change stream to exactly the entries in this category. The feed carries an identifier of its own, so a feed reader keeps it apart from the full stream.
Categories sharing entries with this one
Per neighbour its own size and the counted number of shared entries. A category without a single shared entry is not listed here.
tracevero · https://tracevero.com/themen/einsatz-texterkennung?seite=2